Which of the following statements about the t-statistic in regression is not true?
a. The t-statistic provides some idea of how well a predictor predicts the outcome variable. |
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b. The t-statistic is equal to the regression coefficient divided by its standard deviation. |
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c. The t-statistic can be used to see whether a predictor variables makes a statistically significant contribution to the regression model. |
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d. The t-statistic tests whether the regression coefficient, b, is equal to 0. |
We only can check whether a particular variable is significant or not by t statistic, it doesn't tell us how significant that variable is. Hence,
Option A is the right answer.
Which of the following statements about the t-statistic in regression is not true? a. The t-statistic...
In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F- statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 4 6 O 2 0.5
Question 28 3 pts In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F-statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 0.5 O 6 O 4 N
Question 28 3 pts In a simple regression model, the value of the t-statistic, which tests the null hypothesis that the slope true slope coefficient is zero, is equal to 2. The F-statistic that tests the null hypothesis that the true coefficient of determination is zero is equal to: 04 O 6 O2 O 0.5
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