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Quektion is For an investigation of the price of one-bedroom apartments in Dabai. We eollected
atis for y= price of one-bedroom apartment (51000), x im its associated distance from
downtiown (in
The multiple regression analyols produced the following excel outpue summanrourrun Use the
above Excel results to answer the following questions. a. What are the dependent and
independent variables (in words)? b. Draw a scatter plot to present the relationship between the
price of apartments and the size of the apartment. Describe the relationship based on the plot. c.
Use the above Excel outputs to estimate the multiple linear regression equation. d. Interpret each
one of the estimated regression coefficients 0,1 and 2. e. What is the value of the linear
correlation coefficient? Use this value to comment on whether you think a linear relationship
exists between the dependent and independent variables. f. Identify and interpret the coefficient
of determination g. Test the significance of the regression model at the 5% level. h. Does each
one of the explanatory variables do a good job of explaining changes in price of apartments?
Explain why or why not. i. Predict the price of an apartment within 10kms as a distance from
downtown and its size is 105 square feet.

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Quektion is For an investigation of the price of one-bedroom apartmen.pdf

  • 1. Quektion is For an investigation of the price of one-bedroom apartments in Dabai. We eollected atis for y= price of one-bedroom apartment (51000), x im its associated distance from downtiown (in The multiple regression analyols produced the following excel outpue summanrourrun Use the above Excel results to answer the following questions. a. What are the dependent and independent variables (in words)? b. Draw a scatter plot to present the relationship between the price of apartments and the size of the apartment. Describe the relationship based on the plot. c. Use the above Excel outputs to estimate the multiple linear regression equation. d. Interpret each one of the estimated regression coefficients 0,1 and 2. e. What is the value of the linear correlation coefficient? Use this value to comment on whether you think a linear relationship exists between the dependent and independent variables. f. Identify and interpret the coefficient of determination g. Test the significance of the regression model at the 5% level. h. Does each one of the explanatory variables do a good job of explaining changes in price of apartments? Explain why or why not. i. Predict the price of an apartment within 10kms as a distance from downtown and its size is 105 square feet.