Essential Statistics, Books a la Carte Edition Plus MyLab Statistics with Pearson eText - Access Card Package (2nd Edition)
Essential Statistics, Books a la Carte Edition Plus MyLab Statistics with Pearson eText - Access Card Package (2nd Edition)
2nd Edition
ISBN: 9780134466026
Author: Rob Gould, Colleen N. Ryan, Rebecca Wong
Publisher: PEARSON
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Chapter 4, Problem 1SE

a.

To determine

Identify the variable that has a stronger relationship with the value of land and give the reason.

a.

Expert Solution
Check Mark

Answer to Problem 1SE

The number of acres of land has a stronger relationship with the value of the land.

Explanation of Solution

From the scatterplot of (A), one can see that the points are very close to each other and the points are less scattered in the vertical direction. There is a strong relationship between the number of acres and the value of land (thousands of dollars).

On the other hand, in the scatterplot of (B), the points are widely scattered in the vertical direction.

Therefore, the number of acres of land has a strong relationship with the value of land.

b.

To determine

Explain a better prediction about the value of land by knowing the acreage or the number of rooms in the house.

b.

Expert Solution
Check Mark

Answer to Problem 1SE

Yes, one can be able to make a better prediction about the value of land.

Explanation of Solution

  • From the scatterplots of (A) and (B), one can observe that the value of land is more strongly associated with acreage than with the number of rooms.
  • Thus, one can be able to make a better prediction about the value of land because there is less scatteredness in the vertical direction of acreage and the value of land.
  • Therefore, yes, one can be able to make a better prediction about the value of land.

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Chapter 4 Solutions

Essential Statistics, Books a la Carte Edition Plus MyLab Statistics with Pearson eText - Access Card Package (2nd Edition)

Ch. 4 - Prob. 11SECh. 4 - Prob. 12SECh. 4 - Prob. 13SECh. 4 - Prob. 14SECh. 4 - Prob. 15SECh. 4 - Handspans Refer to the figure. Would it make sense...Ch. 4 - Prob. 17SECh. 4 - Prob. 18SECh. 4 - Prob. 19SECh. 4 - Prob. 20SECh. 4 - Prob. 21SECh. 4 - Prob. 22SECh. 4 - Prob. 23SECh. 4 - Prob. 24SECh. 4 - Prob. 25SECh. 4 - Prob. 26SECh. 4 - Prob. 27SECh. 4 - Prob. 28SECh. 4 - Prob. 29SECh. 4 - Prob. 30SECh. 4 - Prob. 31SECh. 4 - Prob. 32SECh. 4 - Height and Armspan for Women (Example 4) TI-84...Ch. 4 - Prob. 34SECh. 4 - Prob. 35SECh. 4 - Prob. 36SECh. 4 - Prob. 37SECh. 4 - Prob. 38SECh. 4 - Prob. 39SECh. 4 - Prob. 40SECh. 4 - Choosing the Predictor and Response (Example...Ch. 4 - Prob. 42SECh. 4 - Prob. 43SECh. 4 - Prob. 44SECh. 4 - Prob. 45SECh. 4 - Prob. 46SECh. 4 - Prob. 47SECh. 4 - Prob. 48SECh. 4 - Prob. 49SECh. 4 - Prob. 50SECh. 4 - Prob. 51SECh. 4 - Prob. 52SECh. 4 - Prob. 53SECh. 4 - Prob. 54SECh. 4 - Prob. 55SECh. 4 - Prob. 56SECh. 4 - Prob. 57SECh. 4 - Prob. 58SECh. 4 - Prob. 59SECh. 4 - Prob. 60SECh. 4 - Prob. 61SECh. 4 - Prob. 62SECh. 4 - Prob. 63SECh. 4 - Prob. 64SECh. 4 - Prob. 65SECh. 4 - Prob. 66SECh. 4 - Prob. 67SECh. 4 - Prob. 68SECh. 4 - Prob. 69SECh. 4 - Prob. 70SECh. 4 - Prob. 71SECh. 4 - Prob. 72SECh. 4 - Test Scores Assume that in a political science...Ch. 4 - Prob. 74SECh. 4 - Prob. 75CRECh. 4 - Prob. 76CRECh. 4 - Prob. 77CRECh. 4 - Prob. 78CRECh. 4 - Prob. 79CRECh. 4 - Prob. 80CRECh. 4 - Prob. 81CRECh. 4 - Prob. 82CRECh. 4 - Prob. 83CRECh. 4 - Prob. 84CRECh. 4 - Prob. 85CRECh. 4 - Prob. 86CRECh. 4 - Prob. 87CRECh. 4 - Prob. 88CRECh. 4 - Prob. 89CRECh. 4 - Prob. 90CRECh. 4 - Prob. 91CRECh. 4 - Prob. 92CRECh. 4 - Prob. 93CRECh. 4 - Prob. 94CRECh. 4 - Prob. 95CRECh. 4 - Prob. 96CRECh. 4 - Prob. 97CRECh. 4 - Prob. 98CRECh. 4 - Prob. 99CRECh. 4 - Prob. 100CRECh. 4 - Prob. 101CRECh. 4 - Prob. 102CRE
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