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**Notes: **Before doing this assignment, do the practice problem posted under Apply and Discover. Use the instructions given in the document “Using Excel for Regression Analysis” for doing scatter plot, inserting the trend line and producing the regression report using the data analysis regression tool. Copy and paste the scatter plot and the regression report from Excel into this document.Show all steps

**Problem **

Data for a sample of houses sold recently in the suburb of a large metropolis are given below:

Area of House (hundreds of square feet) |
Selling Price (thousands of dollars) |

20 |
250 |

19 |
220 |

27 |
350 |

28 |
390 |

30 |
320 |

15 |
200 |

25 |
360 |

23 |
290 |

18 |
210 |

35 |
410 |

(a) Do a scatter diagram for the data, insert the trend line and add the equation and R^{2} value to the diagram.

(b) Find SS_{xx}, SS_{yy} and SS_{xy}.

(c) Determine the correlation coefficient. Comment on the value of the correlation coefficient.

(d) Find the regression equation manually. Compare with the equation obtained when doing the scatter diagram.

(e) Find SST, SSR and SSE.

(f) Find the degrees of freedom associated with the sum of squares in part (e).

(g) Find MSR and MSE.

(h) Summarize your findings as an ANOVA table.

(i) Find the coefficient of determination R^{2}.

(j) Find standard error of the estimate s_{e}

(k) Test the hypothesis that Y and X are not related. That is, test H_{0}: b_{1 }= 0 vs. H_{1}: b_{1 }¹ 0 by using a t-statistic. Use a = 0.05.

(l) Find the predicted value of Y given X = 24. Give an interpretation of the predicted value in the context of the problem.

(m) Find a 95% confidence interval for the mean value of Y given X = 24. Give an interpretation of the confidence interval in the context of the problem.

Solution Description

Previously, thank you for purchasing my tutorial. I try to