Question

In: Math

You probably regard your university education as an investment. You spend your valuable time, effort, and...

You probably regard your university education as an investment. You spend your valuable time, effort, and tuition fees and in return you obtain a degree. The provincial and federal governements also regard their funding of universities to be an investment. But is the investment equally effective in producing graduates across all provinces? The data bellow indicates the number of graduates at the bachelors, masters and doctorate levels and funding from four sources: Investment of university endowment funds, provincial funding, federal funding, tuition fees. Can we estimate the number of graduates from the level of these sources of funding? Does population size impact the equation? What other factors could influence results?

Population size

Bachelors

Masters

Doctorate

Investment Income

Federal

Provincial

Tuition

1

Alberta

4,067,176

15720

3297

579

126680000

311184000

2110750000

798612000

2

British Columbia

4,631,000

16980

4488

393

136505000

352119000

2052199000

1021043000

3

Manitoba

1,282,000

5835

708

96

23152000

82805000

496334000

190402000

4

New Brunswick

753,915

4344

504

45

24377000

54219000

200677000

132086000

5

Newfoundland and Labrador

528,449

2760

531

51

3757000

61676000

292731000

72502000

6

Nova Scotia

942,927

7959

1716

111

32551000

98062000

359035000

318869000

7

Ontario

13,600,000

84714

13095

2049

438746000

1132905000

5010652000

3334466000

8

Prince Edward Island

146,284

660

48

9

2134000

17553000

63118000

35506000

9

Quebec

8,215,000

33438

9972

1428

136634000

745905000

4307043000

700697000

10

Saskatchewan

1,130,000

2979

435

63

45108000

108851000

589425000

176926000

Solutions

Expert Solution

The regression equation is defined as,

Where Y = Total graduates, X1 = Population size, X2 = Investment Income, X3 = Federal funding, X4 = Provincial funding, X5 = Tution fees

Under the Homoskedasticity assumption, the expected value of error term will be zero

Now, the regression analysis is done in excel by following steps

Step 1: Write the data values in excel. Where, the total gradualte is the sum of bachelors, masters and doctorate. The screenshot is shown below,

Step 2: DATA > Data Analysis > Regression > OK. The screenshot is shown below,

Step 3: Select Input Y Range: 'Total graduate' column, Input X Range: all the other columns then OK. The screenshot is shown below,

The result is obtained. The screenshot is shown below,

The regression equation is,

From the regression output summary, we can see that only the variable Provincial funding is significant at 10% significant level. All the other variables are not significant.

Explanatory variable Coefficient P-value Significance level
Population size 0.00264127 0.68226144 > 0.1 Not significant
Investment Income -5.416E-05 0.61981904 > 0.1 Not significant
Federal 0.00010337 0.06297012 < 0.1 Not significant
Provincial -1.218E-05 0.1123386 > 0.1 Significant
Tuition 9.6499E-06 0.51307473 > 0.1 Not significant

Hence we can say that population doesnot impact the equation (insignificant variable in equation). Only the the variable Provincial funding impact the equation (statistically significant variable in equation)


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