Question

Residuals:

    Min      1Q Median      3Q     Max

-6249.5 -382.9 -139.3    25.6 31164.7

Coefficients:

              Estimate Std. Error t value Pr(>|t|)   

(Intercept) 1.311e+02 2.219e+02   0.591   0.5550   

debt         1.283e-01 3.288e-01   0.390   0.6966   

sales        2.942e-01 1.366e-01   2.154   0.0321 *

income       1.546e+01 2.697e+00   5.730 2.42e-08 ***

assets      -2.390e-05 4.839e-03 -0.005   0.9961   

seo          2.973e+02 2.627e+02   1.132   0.2587   

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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 2019 on 303 degrees of freedom

Multiple R-squared: 0.258,   Adjusted -squared: 0.2457

F-statistic: 21.07 on 5 and 303 DF, p-value: < 2.2e-16

can you please interpret the statistical data here.

Answer 1

we have 5 independent variables in this analysis, i.e. debt, income, sales, assets and seo.

p value corresponding to debt, assets and seo are not significant enough to consider these variables as significant independent variable because these p values are greater than significance level 0.05

p value corresponding to income and sales are significant at 0.05 level of significance because the p values are smaller than the significance level.

Overall F statistics value is significant because its corresponding p value is less than significance level of 0.05.

This means that the model is significant and we can include indepenent variable income and sales in the final model based on 0.05 level of significance.