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.
Firstly, both the proponents and opponents of the Maple County council’s proposed measure considers the aftermath of such measures adopted by other counties many years ago. Past situations may not be sufficient to prepare for existing issues. Chestnut County’s modest increase in housing prices may be due to other factors like demography. If the population decreases, then the need for housing is automatically going to decrease. Pine county’s restrictions may have occurred during a time when there was a huge demand for residential areas. The argument can be strengthened by divulging demographic statistics before 15 years in Pine County and before 10 years in Chestnut County.
And real-estate prices are directly influenced by its locality. If Maple County is based near a downtown area, then the pricing in its housing is likely to increase regardless of the measure the County tries to adopt in order to tackle over-development. On the other hand, if the County is based near a newly developing residential area, a decrease in demand for housing can be predicted. In such cases, the proposed measure to prevent development of Maple County can succeed. The council of the Maple County can gain more insights into the aftermath of their measure, by knowing more about the location of the Maple County.
In addition, the economy of a particular County determines the housing prices at a given time. Even if constraints are placed on the development of the county, resulting in the soaring of housing prices, affluent residents will not be affected by the problem. And if the per-capita income of the Maple County is high, then, there will not occur any significant changes after the increase in housing prices. The economy of the Maple County has to be understood to predict the results corresponding to an increase in housing prices.
On summing up the above flaws of the argument, it is difficult to evaluate the prediction of the proposed measure of the Maple County in order to tackle over development. More statistics and data can be sufficient in order to predict the effect of the proposed measure.
Comments
e-rater score report
Attribute Value Ideal
Final score: 4.0 out of 6
Category: Good Excellent
No. of Grammatical Errors: 2 2
No. of Spelling Errors: 5 2
No. of Sentences: 17 15
No. of Words: 348 350
No. of Characters: 1730 1500
No. of Different Words: 162 200
Fourth Root of Number of Words: 4.319 4.7
Average Word Length: 4.971 4.6
Word Length SD: 2.806 2.4
No. of Words greater than 5 chars: 135 100
No. of Words greater than 6 chars: 102 80
No. of Words greater than 7 chars: 70 40
No. of Words greater than 8 chars: 41 20
Use of Passive Voice (%): 0 0
Avg. Sentence Length: 20.471 21.0
Sentence Length SD: 6.687 7.5
Use of Discourse Markers (%): 0.588 0.12
Sentence-Text Coherence: 0.376 0.35
Sentence-Para Coherence: 0.55 0.50
Sentence-Sentence Coherence: 0.121 0.07
Number of Paragraphs: 4 5
Transition Words or Phrases used:
first, firstly, if, may, so, then, as to, in addition, on the other hand
Attributes: Values AverageValues Percentages(Values/AverageValues)% => Comments
Performance on Part of Speech:
To be verbs : 16.0 19.6327345309 81% => OK
Auxiliary verbs: 11.0 12.9520958084 85% => OK
Conjunction : 5.0 11.1786427146 45% => More conjunction wanted.
Relative clauses : 1.0 13.6137724551 7% => More relative clauses wanted.
Pronoun: 4.0 28.8173652695 14% => OK
Preposition: 65.0 55.5748502994 117% => OK
Nominalization: 10.0 16.3942115768 61% => OK
Performance on vocabulary words:
No of characters: 1778.0 2260.96107784 79% => OK
No of words: 348.0 441.139720559 79% => More content wanted.
Chars per words: 5.1091954023 5.12650576532 100% => OK
Fourth root words length: 4.31911543099 4.56307096286 95% => OK
Word Length SD: 2.8977089004 2.78398813304 104% => OK
Unique words: 165.0 204.123752495 81% => More unique words wanted.
Unique words percentage: 0.474137931034 0.468620217663 101% => OK
syllable_count: 565.2 705.55239521 80% => OK
avg_syllables_per_word: 1.6 1.59920159681 100% => OK
A sentence (or a clause, phrase) starts by:
Pronoun: 1.0 4.96107784431 20% => OK
Article: 6.0 8.76447105788 68% => OK
Subordination: 4.0 2.70958083832 148% => OK
Conjunction: 2.0 1.67365269461 119% => OK
Preposition: 6.0 4.22255489022 142% => OK
Performance on sentences:
How many sentences: 17.0 19.7664670659 86% => OK
Sentence length: 20.0 22.8473053892 88% => OK
Sentence length SD: 37.1324199184 57.8364921388 64% => OK
Chars per sentence: 104.588235294 119.503703932 88% => OK
Words per sentence: 20.4705882353 23.324526521 88% => OK
Discourse Markers: 4.23529411765 5.70786347227 74% => OK
Paragraphs: 4.0 5.15768463074 78% => More paragraphs wanted.
Language errors: 0.0 5.25449101796 0% => OK
Sentences with positive sentiment : 9.0 8.20758483034 110% => OK
Sentences with negative sentiment : 2.0 6.88822355289 29% => More negative sentences wanted.
Sentences with neutral sentiment: 6.0 4.67664670659 128% => OK
What are sentences with positive/Negative/neutral sentiment?
Coherence and Cohesion:
Essay topic to essay body coherence: 0.313661126504 0.218282227539 144% => OK
Sentence topic coherence: 0.113148917909 0.0743258471296 152% => OK
Sentence topic coherence SD: 0.0982760687577 0.0701772020484 140% => OK
Paragraph topic coherence: 0.196329606489 0.128457276422 153% => OK
Paragraph topic coherence SD: 0.0749851739251 0.0628817314937 119% => OK
Essay readability:
automated_readability_index: 12.9 14.3799401198 90% => Automated_readability_index is low.
flesch_reading_ease: 51.18 48.3550499002 106% => OK
smog_index: 8.8 7.1628742515 123% => OK
flesch_kincaid_grade: 11.1 12.197005988 91% => OK
coleman_liau_index: 12.36 12.5979740519 98% => OK
dale_chall_readability_score: 9.08 8.32208582834 109% => OK
difficult_words: 98.0 98.500998004 99% => OK
linsear_write_formula: 8.0 12.3882235529 65% => OK
gunning_fog: 10.0 11.1389221557 90% => OK
text_standard: 10.0 11.9071856287 84% => OK
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.