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ApartmentNo. 1 2 3 4 5 Size(m2) 850 1450 1085 1232 718 MonthlyRental($) 950 1600 1200 1500 950 ApartmentNo. 6 7 8 9 10 Size(m2)

ApartmentNo.

1

2

3

4

5

Size(m2)

850

1450

1085

1232

718

MonthlyRental($)

950

1600

1200

1500

950

ApartmentNo.

6

7

8

9

10

Size(m2)

1485

1136

726

700

956

MonthlyRental($)

1700

1650

935

875

1150

ApartmentNo.

11

12

13

14

15

Size(m2)

1100

1285

1985

1369

1175

MonthlyRental($)

1400

1650

2300

1800

1400

An agent for a residential real estate company would like to predict the monthly rental cost for apartments based on the flat size of the apartment. A sample of 15 apartments rented in a particular residential neighborhood was selected, and the information was collected above:

In this question, I have the following want to ask.

1. Determine the independent (x) and dependent variables (y)

2. ComputethesamplePearson correlationcoefficient,r.Comment onthemeaningofyour answer.

3. Findtheleastsquares estimatesof0 and1 and writedownthe fittedregressionequation.

4. Employtheequationobtained inpart3 topredictthemonthlyrentals whenthesizeare respectively equal to 1200m2and2200m2.

5. Doyouthinkthatthefitted/predictedvaluesobtainedinpart 4 arereliable? Explains carefully.

6. Construct anANOVAtable with SSR, SSE, MSR, MSE and F-ratio.

7. Based on the result of part 6, test for the model linearity at = 5% level of significance. State the following in testing procedures: H0 and H1 , Critical value of F distribution, Decision rule in the form of inequalities, Value of test statistic, Decision and Conclusion

8. Calculate R2 with briefly explanation.

That's all. Thanks for your help.

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