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Scenario: Consider the following R output for the t-test. > summary(model) Call: lm(formula = man ~ father, data = data[1:5, ]) Coefficients: Estimate Std. Error

Scenario: Consider the following R output for the t-test.

> summary(model)

Call:

lm(formula = man ~ father, data = data[1:5, ])

Coefficients:

Estimate Std. Error t value Pr(>|t|) (Intercept) 57.6921 24.5900 2.346 0.101 father 0.1794 0.3541 ?.??? 0.647

Residual standard error: 1.778 on 3 degrees of freedom

Multiple R-squared: 0.07877, Adjusted R-squared: -0.2283 F-statistic: 0.2565 on 1 and 3 DF, p-value: 0.6474

1)Identify the estimated standard error for b1.(Keep all 4 decimal places)

2)Calculate the t-statistic marked as ?.??? in the output. (Round to three decimal places.)

3)Identify the R-square value from the R output.

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