Can someone check my answers, please? A real estate agent wishes to examine the

Question

Can someone check my answers, please?

A real estate agent wishes to examine the relationship between the sales price (in thousand dollars) of a home and its size (measured in hundred square feet). A random sample of 21 houses is selected. Below is the partial StatCrunch output of the analysis of variance table for the regression model Simple linear regression results: Dependet Variable: Price Independent Variable: Size Price =-7.518394 + 8.891736 Size Sample size: 21 Analysis of variance table for regression model Source DF MS F-stat a. 34190.746 b. 22579.496 C. Modea. Error Total Use 3 decimal places for your answers except those of degrees of freedom Parts a-9, fill out the ANOVA table. a. DFM, Degrees of Freedom for Model: 1 b. DFE, Degrees of Freedom for Error: 19 C. DFT, Degrees of Freedom for Total: 20 d. SST, Sum of Squares for Total: 56770.242 e. MSM, Mean Squares for Model: 34190.746 f. MSE, Mean Squares for Error: 1188.395 g, F Statistic for testing Ho: 1-0 against HA: 1 0: 28.771 h. What is s, the estimated standard deviation of error? 34.473 i. Give the proportion of variation in sales price that is explained by house size, the explanatory variable. 602 j. What is the correlation between house sales price and house size? 776 k. What is Sy, the sample standard deviation of house price, the response variable? 53.278

Explanation / Answer

as per me all answer posted by you are correct. below is my work for reference purpose.

s=(MSE)1/2 =(1188.395 )1/2 =34.473

R2 =SSR/SST=0.602

corrrelation =(0.602)1/2 =0.776

Sy =(SST/(n-1))1/2 =53.278

all correct,

source df SS MS F-stat model 1 34190.746 34190.746 28.771 error 19 22579.496 1188.395 total 20 56770.242

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