Based on the data below, can you help me determine the estimated slope coefficient, the standard error, and the 95% confidence interval? I think the confidence interval is the p value (.2122), but I am unsure of the rest. If you could elaborate on what each of those terms mean or how they apply to this test I would appreciate it.

Call:

lm(formula = nazivoteshare ~ shareblue, data = nazis)

Residuals:

Min 1Q Median 3Q Max

-0.30151 -0.07133 -0.00092 0.06986 0.33037

Coefficients:

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

(Intercept) 0.39558 0.01661 23.812 <2e-16 ***

shareblue 0.06518 0.05220 1.249 0.212

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Signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' ' 1

Residual standard error: 0.108 on 679 degrees of freedom

Multiple R-squared: 0.002291, Adjusted R-squared: 0.0008218

F-statistic: 1.559 on 1 and 679 DF, p-value: 0.2122