Answer: option(first)
Using the information that is
therefore F statistic = (2)^2 = 4
In a simple regression model, the value of the t-statistic, which tests the null hypothesis that...
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
Imagine that you regressed the earnings of individuals on a constant, a binary variable (“Male”) which takes on the value of 1 for males and is 0 otherwise, and another binary variable (“Female”) which takes on the value of 1 for female and is 0 otherwise. Because females typically earn less than males, you would expect: Group of answer choices autocorrelation or serial correlation to be a serious problem. the estimated coefficient for Male to have a positive sign, and...
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. b. The t-statistic is equal to the regression coefficient divided by its standard deviation. c. The t-statistic can be used to see whether a predictor variables makes a statistically significant contribution to the regression model. d. The t-statistic tests whether the regression coefficient, b, is equal to 0.
In general, if the regression F statistic is zero, which of the following is true? The slope is zero O The standard error of the estimate is zero The coefficient of determination (R2) is 1 O Your calculator is broken
Suppose you conducted a simple linear regression t-test with a null hypothesis that the slope was positive. You obtained a p-value of 0.023. If you were to conduct an F-test that tested for a linear relationship between the one predictor and response what p-value would you expect to obtain?
If p-value is 0.11 the null hypothesis can be rejected at a = .05. the null hypothesis can be rejected at a =.10. the null hypothesis can be rejected at a =.01. none of the above. 问题8 19 The test statistic for testing significance of the one regression coefficient follows Normal Distribution. Student's t-distribution. O F distribution. Chi-squared distribution. 问题9 19 The test statistic for testing significance of the overall regression model follows Normal distribution. Student's t-distribution. F distribution. Chi-squared...
Suppose that the null hypothesis is true, that the distribution of the test statistic, say T, is continuous with cumulative distribution function F and that the test rejects the null hypothesis for large values of T. Let V denote the p-value of the test. a. Show that V = 1 − F(T). b. Conclude that the null distribution of V is uniform. c. If the null hypothesis is true, what is the probability that the p-value is greater than 0.1?
Question 3 (5 points) Question 1(C): You have performed a simple linear regression model to understand the effect of Number of Bedrooms on House Price House Price is in Thousand S and Number of Bedrooms is in number of bedrooms Coefficient t-statistic p-value Intercept 28.77 6.52 <0.000 Number of Bedrooms 13.27 9.18 <0.000 Which of the below statement is true. Select one option from below: O p-value<0.001 implies that we cannot reject the null hypothesis. O p-value<0.001 implies that the...
For a simple linear regression results shown below, the P-value for the slope coefficient is as follows: a hypothesis test of whether the regression coefficient ß1 is zero. a measure that determines if the linearity assumption is satisfied a hypothesis test of whether the regression coefficient for Advertising is equal to 6.738. the variability of the observed Y-values from the predicted values.