interpret the below. What do B and t mean
Coefficientsa |
||||||
Model |
Unstandardized Coefficients |
Standardized Coefficients |
t |
Sig. |
||
B |
Std. Error |
Beta |
||||
1 |
(Constant) |
7.029 |
.059 |
119.307 |
.000 |
|
Q1. Age |
.027 |
.001 |
.090 |
17.839 |
.000 |
|
a. Dependent Variable: Trust in Government Index (higher scores=more trust) |
Solution:
In the given output, column B is the columns of the coefficient.
Constant = 7.029 is the intercept of the regression equation and it is the average value of the response variable when the value of the independent variable is 0
Q1. Age = 0.027 is the slope of the regression equation and it means for a unit change in the Age variable, the response variable (Trust in Government index) is expected to be increased by 0.027 units.
The t-value in the table means the test statistic for the given coefficients and these are used to test if the coefficients are statistically significant. In the given output, since the p-values are less than the significance level, we, therefore, conclude that both the coefficients are significant.
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