Compute the least-squares line for predicting


In a study to determine the relationship between ambient outdoor temperature and the rate of evaporation of water from soil, measurements of average daytime temperature in C and evaporation in mm/day were taken for 40 days. The results are shown in the following table.

Temp.

Evap.

Temp.

Evap.

Temp.

Evap.

Temp.

Evap.

11.8

2.4

11.8

3.8

18.6

3.5

14.0

1.1

21.5

4.4

24.2

5.0

25.4

5.5

13.6

3.5

16.5

5.0

15.8

2.6

22.1

4.8

25.4

5.1

23.6

4.1

26.8

8.0

25.4

4.8

17.7

2.0

19.1

6.0

24.8

5.4

22.6

3.2

24.7

5.7

21.6

5.9

26.2

4.2

24.4

5.1

24.3

4.7

31.0

4.8

14.2

4.4

15.8

3.3

25.8

5.8

18.9

3.0

14.1

2.2

22.3

4.9

28.3

5.8

24.2

7.1

30.3

5.7

23.2

7.4

29.8

7.8

19.1

1.6

15.2

1.2

19.7

3.3

26.5

5.1

a. Compute the least-squares line for predicting evaporation (y) from temperature (x).

b. Compute 95% confidence intervals for β0 and β1 .

c. Predict the evaporation rate when the temperature is 20C.

d. Find a 95% confidence interval for the mean evaporation rate for all days with a temperature of 20C.

e.Find a 95% prediction interval for the evaporation rate on a given day with a temperature of 20C.

Request for Solution File

Ask an Expert for Answer!!
Econometrics: Compute the least-squares line for predicting
Reference No:- TGS01543896

Expected delivery within 24 Hours