7. Put the equation in the form of y = a + bx, using the numbers in your output for a and b.
8. Provide a substantive interpretation for your regression coefficient.
9. Provide a substantive interpretation for your Y-intercept (constant in the output).
10. Is the effect of your predictor statistically significant? Explain
Regression Coefficients |
Test That Each Coefficient = 0 |
||||||
B |
SE(B) |
Beta |
SE (Beta) |
T-STATISTIC |
PROBABILITY |
||
AGE |
.043 |
.000 |
.409 |
.004 |
113.626 |
.000 |
|
CONSTANT |
.041 |
.018 |
2.256 |
.025 |
7:
The equation is
y' = 0.041 + 0.043* x
8:
The regression coefficient or slope is 0.043
It shows that for each unit increase in age, the dependent variable y is increased by 0.043 units.
9:
The Y intercept is 0.041
It shows that when independent variable Age is zero, then dependent variable is 0.041.
10:
The p-value of age is 0.000
Since p-value is approximately 0.000 so there is strong evidence that the effect of your predictor is statistically significant.
Answer: Yes
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