In: Math
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 |
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)