Question Help The results of a regression analysis for 100 homes relating y sell

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Question Help The results of a regression analysis for 100 homes relating y selling price in dollars to-the size of the house in square feet) are available below A 95% confidence interval for the slope is (62,86) The 100 houses included in the data set had sizes ranging from 420 square feet to 4250 square feet Complete parts a and b below Click the icon to view the regression analysis results a. Interpret what the confidence interval implies for a one-unit increase in the size of the house. O A. On average, the selling price of a house increases between S62 to $86 for every 1 square foot increase in size B. The selling price of any house increases between S62 to $86 for every 1 square foot increase in size O C. The size of any house increases between 62 to 86 square feet for every S 1 increase in seling price 0 D. On average, the size of a house increases between 62 to 86 square feet for every S1 increase in selling price. b. Repeat part a, now using a more meaningful increase of 100 square feet in the size of a house O A. The size of any house increases between 6200 to 8600 square feet for every S 100 increase in selling price. 0 B. On average, the selling price of a house increases between S6200 and S8600 for every 100 square feet increase in size O C. The selling price of any house increases between $6200 and $8600 for every 100 square foot increase in size ( D. On average, the size of a house increases to between 6200 to 8600 square feet for every $100 increase in selling price Regression Analysis Results Tezr Coef I-Vaiue-Value 73.73 2.26

Explanation / Answer

a) here as dependent variable is selling price therfore

option A is correct

b) option B is correct.

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