Using this regression model below that I created to, interpret the slope estimates, that is interpret the impact that income [per capita gross national income] has on U5MR [No. of deaths of children 0-5 years old, per 1000 live births]. Then interpret the r square [for example what % of the variation can be explained by the other variable]. Lastly calculate the predicted values of U5MR when income = $10,000.
Regression Statistics | ||||||||
Multiple R | 0.443388 | |||||||
R Square | 0.196593 | |||||||
Adj R Square | 0.190413 | |||||||
St. Error | 35.12515 | |||||||
Observations | 132 | |||||||
ANOVA | ||||||||
df | SS | MS | F | Sign F | ||||
Regression | 1 | 39247.45 | 39247.45 | 31.81083 | 1.01E-07 | |||
Residual | 130 | 160390.9 | 1233.776 | |||||
Total | 131 | 199638.4 | ||||||
Coefficients | Standard Error | t Stat | P-value | Lower 95% | Upper 95% | Lower 95.0% | Upper 95.0% | |
Intercept | 53.50875 | 3.73253 | 14.33579 | 1.53E-28 | 46.12439 | 60.893116 | 46.124387 | 60.893116 |
4090 | -0.00164 | 0.00029 | -5.64011 | 1.01E-07 | -0.00221 | -0.001063 | -0.0022118 | -0.0010631 |
Please go through the answer. Thanks.
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