A store manager wants to determine the effect of house sizes on sales prices. He has randomly selected 10 houses for the study. The sizes of houses (square feet) and sales prices ($'000) were recorded as below. Sales Price ($'000) ITT House Size (square feet) 1002 No. 1 2 1252 526 3. 1270 398 4 1200 330 5 1591 797 6. 1971 794 7 1182 720 1010 585 1659 781 10 1618 635 Scatterplot of Sales Price vs House Size 900 800 700 600 500 400 300 200 100 500 1000 1500 2000 2500 House Size i. Interpret the scatterplot. ii. Using MS Excel, write down the equation of the regression line and interpret the regression coefficients. iii. Identify coefficient of correlation and interpret its meaning. iv. Find the coefficient of determination and interpret its meaning. Sales Price

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Question 4
A store manager wants to determine the effect of house sizes on sales prices. He has randomly
selected 10 houses for the study. The sizes of houses (square feet) and sales prices ($'000) were
recorded as below.
No.
House Size (square feet)
Sales Price ($'000)
1
1002
772
1252
526
3
1270
398
1200
330
5
1591
797
6.
1971
794
1182
720
8.
1010
585
9.
1659
781
10
1618
635
Scatterplot of Sales Price vs House Size
900
800
700
600
500
400
300
200
100
500
1000
1500
2000
2500
House Size
i. Interpret the scatterplot.
ii. Using MS Excel, write down the equation of the regression line and interpret the regression
coefficients.
iii. Identify coefficient of correlation and interpret its meaning.
iv. Find the coefficient of determination and interpret its meaning.
Sales Price
Transcribed Image Text:Question 4 A store manager wants to determine the effect of house sizes on sales prices. He has randomly selected 10 houses for the study. The sizes of houses (square feet) and sales prices ($'000) were recorded as below. No. House Size (square feet) Sales Price ($'000) 1 1002 772 1252 526 3 1270 398 1200 330 5 1591 797 6. 1971 794 1182 720 8. 1010 585 9. 1659 781 10 1618 635 Scatterplot of Sales Price vs House Size 900 800 700 600 500 400 300 200 100 500 1000 1500 2000 2500 House Size i. Interpret the scatterplot. ii. Using MS Excel, write down the equation of the regression line and interpret the regression coefficients. iii. Identify coefficient of correlation and interpret its meaning. iv. Find the coefficient of determination and interpret its meaning. Sales Price
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