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125% + 6 View Zoom Add Page Insert Table Chart Text Shape Media Comment Calla Save Money While Traveling bookingbuddy.co

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125% + 6 View Zoom Add Page Insert Table Chart Text Shape Media Comment Calla Save Money While Traveling bookingbuddy.com Click here to compare flights on top travel sites! HW6 Multiple Regression Analysis Pool Home Case: Table below gives the regression output for the relationship between the sale price of homes (in $1000), the square feet area of homes, number of bathrooms, niceness rating (1-7) of 80 homes in Florida. It also gives the value of the dummy variable for Pool? which equals 1 if the home has a pool and is 0 otherwise. Analyze the results to answer the following questions. SUMMARY OUTPUT Regression Slalislics Multiple R 0.935 R Square 0.874 0.868 Adjusted R Square Standard Error 13.532 Observations 80 Nothing selected. Select an object or text to format. ANOVA al SS MS F Significance F 0.00 4 95665.24 23916.31 130.61 Regression Residual 75 13733.73 183.12 Total 79 109398.97 Coefficients Standard Error Stat P-value Lower 95% Upper 95% Intercept 24.976 16.627 1.502 0.137 -8.146 58.098 Square Feet 0.053 0.007 7.982 0.000 0.039 0.066 Bathrooms 10.043 3.729 2.693 0.009 2.615 17.471 0.791 12.687 0.000 8.465 11.619 3.575 7.235 0.000 18.741 32.984 Rating 10.042 Pool? 25.862 Y-Home Price ($1000) XI-Square Feet (#) X2 - Bathrooms (1) X3 Rating (1-7) X4 - Pool Dummy-Yes or No
125% + all View Zoom Add Page Insert Table Chart Text Shape Media Comment Colla Save Money While Traveling bookingbuddy.com Click here to compare flights on top travel sites! A. Write the equation for the regression equation in terms of the variables and the estimated coefficients? (include the t-stat below cach coefficient value). Home Sale Price = Be + B. Safi+ B2 Baths + B4 Rating - Bs Pool Dumny+ E B. What is the correct goodness of fit of the model (R-square or adjusted R-square? What does it mean? C. Interpreting the Results: Explain what each of the coefficient estimates means (if it is significant). Interpret the meaning of the coefficient value and its sign. Provide some intuition on why you think variable (Xi) should have a significant impact on your dependent variable (Y). (Check the units in which home price and the other X variables are measured.) (a) Square feet areu und Home Price (slope B1 = 0.053) (b) 8 of bathrooms and Home Price Nothing selected. Select an object or text to format. (c) Rating and Home Price (d) Poland Home Price D. Use the estimated equation in (C) to predict the Price of home with 2210 square feet, 25 hathrooms, Rating = 6. (1) With no Pool (1 (2) With Pool E Conduct a test of hypothesis using a = 0.05, for, and B. Compare the model t-stats for each independent variable against the critical t-value for a 2-sided test and determine if the variable is significant in explaining bome price H, H: Critical t-value Show on a graph:
6 田 125% Zoom O Insert View Add Page Table Chart Text Shape Media Comment Colla Save Money While Traveling bookingbuddy.com Click here to compare flights on top travel sites! F. Use the t-stats from the Excel output determine if you should accept or reject the forf.3. and Bs. Variable Name t-stat 10% (table value=?) 5% 14 (table value=?) (table value=?) Intercept 1.59 Nothing selected. Select an object or text to format. G. Arc number of bathrooms significant in explaining home price? Square Feet Arca? Pool? Explain. Hypothesis Test Results
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