A social scientist would like to analyze the relationship between educational attainment (in years of higher education) and annual salary (in $1,000s). He collects data on 20 individuals. A portion of the data is as follows:
Salary | Education |
42 | 6 |
48 | 7 |
82 | 1 |
46 | 3 |
67 | 1 |
54 | 5 |
105 | 6 |
42 | 0 |
38 | 4 |
56 | 6 |
90 | 2 |
44 | 7 |
67 | 5 |
64 | 7 |
143 | 12 |
43 | 0 |
76 | 7 |
64 | 4 |
127 | 6 |
42 | 0 |
Salary,Education 42,6 48,7 82,1 46,3 67,1 54,5 105,6 42,0 38,4 56,6 90,2 44,7 67,5 64,7 143,12 43,0 76,7 64,4 127,6 42,0
a. Find the sample regression equation for the model: Salary = β0 + β1Education + ε. (Round answers to 3 decimal places.)
Salary= _____+______Education
b. Interpret the coefficient for Education.
As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $8,590.
As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4,526.
As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $4,526.
As Education increases by 1 unit, an individual’s annual salary is predicted to decrease by $8,590.
c. What is the predicted salary for an individual who completed 8 years of higher education? (Round answer to the nearest whole number.)
Salary= $ ______
Education X | Salary Y | X * Y | |||
6 | 42 | 252 | 36 | 1764 | |
7 | 48 | 336 | 49 | 2304 | |
1 | 82 | 82 | 1 | 6724 | |
3 | 46 | 138 | 9 | 2116 | |
1 | 67 | 67 | 1 | 4489 | |
5 | 54 | 270 | 25 | 2916 | |
6 | 105 | 630 | 36 | 11025 | |
0 | 42 | 0 | 0 | 1764 | |
4 | 38 | 152 | 16 | 1444 | |
6 | 56 | 336 | 36 | 3136 | |
2 | 90 | 180 | 4 | 8100 | |
7 | 44 | 308 | 49 | 1936 | |
5 | 67 | 335 | 25 | 4489 | |
7 | 64 | 448 | 49 | 4096 | |
12 | 143 | 1716 | 144 | 20449 | |
0 | 43 | 0 | 0 | 1849 | |
7 | 76 | 532 | 49 | 5776 | |
4 | 64 | 256 | 16 | 4096 | |
6 | 127 | 762 | 36 | 16129 | |
0 | 42 | 0 | 0 | 1764 | |
Total | 89 | 1340 | 6800 | 581 | 106366 |
Equation of regression line is
b = 4.526
a =( 1340 - ( 4.5255 * 89 ) ) / 20
a = 46.861
Equation of regression line becomes
As Education increases by 1 unit, an individual’s annual salary is predicted to increase by $4,526.
When X = 8
= 46.861 +
4.526 X
= 46.861 +
4.526 * 8
=
83.07
= 83
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