The council of Maple County, concerned about the county's becoming overdeveloped, is debating a proposed measure that would prevent the development of existing farmland in the county. But the council is also concerned that such a restriction, by limiting the supply of new housing, could lead to significant increases in the price of housing in the county. Proponents of the measure note that Chestnut County established a similar measure ten years ago, and its housing prices have increased only modestly since. However, opponents of the measure note that Pine County adopted restrictions on the development of new residential housing fifteen years ago, and its housing prices have since more than doubled. The council currently predicts that the proposed measure, if passed, will result in a significant increase in housing prices in Maple County.
Write a response in which you discuss what questions would need to be answered in order to decide whether the prediction and the argument on which it is based are reasonable. Be sure to explain how the answers to these questions would help to evaluate the prediction.
All areas reach a point of saturation beyond which point new housing cannot be constructed. For some time house prices may increase but they generally plateau. After all, infinitely any place cannot be expanded. The author assumes that limiting supply of new housing could lead to a “significant” increase in prices . Thus if the law is passed , an increase in price is expected but the “significant “ increase is a vague prediction at best.
The author talks about preventing the conversion of existing farmland . The county thus may have already encroached some farm land for housing purposes . Is major housing coming up near the suburbs ? Being far away from city centre , the price of these areas may not increase significantly.Concept of rural Pricing vs urban or prime location pricing should be considered. The author should highlight the major economic centres nearby and the size of the developed housing , before making vague predictions.
The author gives example of Pine county where the prices have increased and Chestnut county where the prices have decreased. The author has in no way explained which of the two is similar to Maple county. Different areas have different topography , demand for space , primary land usability.
Thus when we cite a county as a reference to predict the future of Maple County, it should be properly justified .
10 years ago Chestnut county imposed similar restrictions and its housing prices have risen modestly. We should look deeper into similarities between Chestnut and Maple county in terms of land usage , population , major economic activity etc. We should note increase in property prices is related to inflation ,demands and several other factors. Property purchase can also be considered as an investment in fixed assets. Thus it is natural for property prices to rise. It also depends on growth and development of the county. It is possible that in the last 15 years Pine county has seen significant growth in terms of infrastructure and development of nearby industrial belt , thus luring more residents and increasing property prices. Is the situation with Maple county similar ? Is Maple county near any new developmental projects? We need to properly assess the economic factors and properly justify the prediction with facts.
Though , Property costs generally increase with time and add to personal finances as a valuable asset , the author should come up with cogent arguments to back his prediction.
| Post date | Users | Rates | Link to Content |
|---|---|---|---|
| 2020-01-29 | jenniferjack07 | 82 | view |
| 2020-01-23 | jason123 | 16 | view |
| 2019-12-19 | samramjam12345 | 50 | view |
| 2019-12-12 | nimesh94 | 55 | view |
| 2019-11-25 | cnegus | 63 | view |
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Grammar and spelling errors:
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...ing supply of new housing could lead to a 'significant' increase in pri...
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...pos;significant' increase in prices . Thus if the law is passed , an increas...
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...;significant' increase in prices . Thus if the law is passed , an increase in ...
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Line 1, column 354, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...se in prices . Thus if the law is passed , an increase in price is expected but ...
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... in prices . Thus if the law is passed , an increase in price is expected but th...
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Line 1, column 390, Rule ID: WHITESPACE_RULE
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...ssed , an increase in price is expected but the 'significant ' increas...
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Line 3, column 70, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ting the conversion of existing farmland . The county thus may have already encroa...
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Line 3, column 152, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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Suggestion: .
...ched some farm land for housing purposes . Is major housing coming up near the sub...
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Line 3, column 232, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...uburbs ? Being far away from city centre , the price of these areas may not increa...
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Line 3, column 291, Rule ID: SENTENCE_WHITESPACE
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...se areas may not increase significantly.Concept of rural Pricing vs urban or prime loca...
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Line 3, column 472, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...by and the size of the developed housing , before making vague predictions. ...
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Line 6, column 126, Rule ID: ENGLISH_WORD_REPEAT_BEGINNING_RULE
Message: Three successive sentences begin with the same word. Reword the sentence or use a thesaurus to find a synonym.
...county where the prices have decreased. The author has in no way explained which of...
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Line 6, column 247, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...ifferent areas have different topography , demand for space , primary land usabili...
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Line 6, column 266, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
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... different topography , demand for space , primary land usability. Thus when we ...
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Message: Did you forget a comma after a conjunctive/linking adverb?
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...d for space , primary land usability. Thus when we cite a county as a reference t...
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Line 7, column 27, Rule ID: WHITESPACE_RULE
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... usability. Thus when we cite a county as a reference to predict the future of ...
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Line 7, column 114, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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... County, it should be properly justified . 10 years ago Chestnut county imposed...
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Line 9, column 199, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
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... and Maple county in terms of land usage , population , major economic activity et...
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Line 9, column 212, Rule ID: COMMA_PARENTHESIS_WHITESPACE
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...unty in terms of land usage , population , major economic activity etc. We should...
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Line 9, column 243, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
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...opulation , major economic activity etc. We should note increase in property pric...
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Line 9, column 311, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
... property prices is related to inflation ,demands and several other factors. Prope...
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Line 9, column 423, Rule ID: SENT_START_CONJUNCTIVE_LINKING_ADVERB_COMMA[1]
Message: Did you forget a comma after a conjunctive/linking adverb?
Suggestion: Thus,
...dered as an investment in fixed assets. Thus it is natural for property prices to ri...
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Line 9, column 677, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...nd development of nearby industrial belt , thus luring more residents and increasi...
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Line 9, column 808, Rule ID: WHITESPACE_RULE
Message: Possible typo: you repeated a whitespace
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...ounty similar ? Is Maple county near any new developmental projects? We need to p...
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Line 11, column 8, Rule ID: COMMA_PARENTHESIS_WHITESPACE
Message: Put a space after the comma, but not before the comma
Suggestion: ,
...y the prediction with facts. Though , Property costs generally increase with ...
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Message: Put a space after the comma, but not before the comma
Suggestion: ,
...to personal finances as a valuable asset , the author should come up with cogent a...
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Transition Words or Phrases used:
also, but, if, look, may, so, thus, after all
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 16.0 19.6327345309 81% => OK
Auxiliary verbs: 14.0 12.9520958084 108% => OK
Conjunction : 13.0 11.1786427146 116% => OK
Relative clauses : 7.0 13.6137724551 51% => More relative clauses wanted.
Pronoun: 14.0 28.8173652695 49% => OK
Preposition: 46.0 55.5748502994 83% => OK
Nominalization: 11.0 16.3942115768 67% => OK
Performance on vocabulary words:
No of characters: 2095.0 2260.96107784 93% => OK
No of words: 394.0 441.139720559 89% => More content wanted.
Chars per words: 5.31725888325 5.12650576532 104% => OK
Fourth root words length: 4.45527027702 4.56307096286 98% => OK
Word Length SD: 2.97866796064 2.78398813304 107% => OK
Unique words: 211.0 204.123752495 103% => OK
Unique words percentage: 0.535532994924 0.468620217663 114% => OK
syllable_count: 653.4 705.55239521 93% => OK
avg_syllables_per_word: 1.7 1.59920159681 106% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 6.0 4.96107784431 121% => OK
Article: 9.0 8.76447105788 103% => OK
Subordination: 2.0 2.70958083832 74% => OK
Conjunction: 0.0 1.67365269461 0% => OK
Preposition: 2.0 4.22255489022 47% => More preposition wanted as sentence beginning.
Performance on sentences:
How many sentences: 25.0 19.7664670659 126% => OK
Sentence length: 15.0 22.8473053892 66% => The Avg. Sentence Length is relatively short.
Sentence length SD: 43.3341620434 57.8364921388 75% => OK
Chars per sentence: 83.8 119.503703932 70% => OK
Words per sentence: 15.76 23.324526521 68% => OK
Discourse Markers: 1.8 5.70786347227 32% => More transition words/phrases wanted.
Paragraphs: 6.0 5.15768463074 116% => OK
Language errors: 26.0 5.25449101796 495% => Less language errors wanted.
Sentences with positive sentiment : 13.0 8.20758483034 158% => OK
Sentences with negative sentiment : 5.0 6.88822355289 73% => OK
Sentences with neutral sentiment: 7.0 4.67664670659 150% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.121140261923 0.218282227539 55% => OK
Sentence topic coherence: 0.0448618894311 0.0743258471296 60% => OK
Sentence topic coherence SD: 0.0551030333052 0.0701772020484 79% => OK
Paragraph topic coherence: 0.0664370242814 0.128457276422 52% => OK
Paragraph topic coherence SD: 0.0372806454267 0.0628817314937 59% => OK
Essay readability:
automated_readability_index: 11.5 14.3799401198 80% => Automated_readability_index is low.
flesch_reading_ease: 47.79 48.3550499002 99% => OK
smog_index: 3.1 7.1628742515 43% => Smog_index is low.
flesch_kincaid_grade: 10.3 12.197005988 84% => OK
coleman_liau_index: 13.28 12.5979740519 105% => OK
dale_chall_readability_score: 8.43 8.32208582834 101% => OK
difficult_words: 101.0 98.500998004 103% => OK
linsear_write_formula: 7.0 12.3882235529 57% => Linsear_write_formula is low.
gunning_fog: 8.0 11.1389221557 72% => OK
text_standard: 8.0 11.9071856287 67% => The average readability is low. Need to imporve the language.
What are above readability scores?
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Rates: 50.0 out of 100
Scores by essay e-grader: 3.0 Out of 6
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Note: the e-grader does NOT examine the meaning of words and ideas. VIP users will receive further evaluations by advanced module of e-grader and human graders.