5. The Pine Properties specializes in home resales in the Tema Community. A random sample of eleven custom homes currently listed for sale provided the following information on size and price. Here, x denotes size, in hundreds of square feet, rounded to the nearest hundred, and y denotes price, in millions of dollars. For part (c), predict the price of a 75,000-sq. A home in the Tema Community. x |57 85| 57 | 65 52 67 62 s0 y 8.0 22.0 10.5 22.5 12.0 11.5 1.5 13.0 16.5 21.0 12.0 | 77 53 68 a. Find the regression equation for the data points. b. Interpret the slope of the regression line. c. Predict the values of the response variable for the specified values of the predictor variable, and interpret your results.

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5. The Pine Properties specializes in home resales in the Tema Community. A random
sample of eleven custom homes currently listed for sale provided the following
information on size and price. Here, x denotes size, in hundreds of square feet, rounded to
the nearest hundred, and y denotes price, in millions of dollars. For part (c), predict the
price of a 75,000-sq. ft. home in the Tema Community.
* 57 85
y 8.0 22.0 10,5 22.5 12.0 11.5 7.5 13.0
52 67 62
80
57
65
77
53
68
16.5
21,0
12.0
a. Find the regression equation for the data points.
b. Interpret the slope of the regression line.
c. Predict the values of the response variable for the specified values of the
predictor variable, and interpret your results.
d. Summarize your answers in an ANOVA table.
e. Compute the correlation coefficients, coefficient of determination and interpret
your results.
Transcribed Image Text:5. The Pine Properties specializes in home resales in the Tema Community. A random sample of eleven custom homes currently listed for sale provided the following information on size and price. Here, x denotes size, in hundreds of square feet, rounded to the nearest hundred, and y denotes price, in millions of dollars. For part (c), predict the price of a 75,000-sq. ft. home in the Tema Community. * 57 85 y 8.0 22.0 10,5 22.5 12.0 11.5 7.5 13.0 52 67 62 80 57 65 77 53 68 16.5 21,0 12.0 a. Find the regression equation for the data points. b. Interpret the slope of the regression line. c. Predict the values of the response variable for the specified values of the predictor variable, and interpret your results. d. Summarize your answers in an ANOVA table. e. Compute the correlation coefficients, coefficient of determination and interpret your results.
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