Question

True or False: the t statistic for an individual coefficient measures the contribution of the corresponding...

True or False:

the t statistic for an individual coefficient measures the contribution of the corresponding independent predictor after controlling for the other independent predictors in the m

Homework Answers

Answer #1

The t statistic for an individual coefficient measures the contribution of the corresponding independent predictor after controlling for the other independent predictors in the multiple regression model.

Answer: True

Explanation: We know that the significance of the regression coefficient is checked by using the t test for the regression coefficient and this test measures the contribution of the corresponding independent predictor after controlling for the other independent variables. We check whether the given regression coefficient is statistically significant or not, and if this is significant, then we can find the contribution of this coefficient in the entire model.

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
True or False: If the correlation coefficient between response variable and the independent variable (or predictor)...
True or False: If the correlation coefficient between response variable and the independent variable (or predictor) is close to zero, then the predictor makes almost no contribution in the variation of the response. Briefly justify your conclusion.
Answer True or False to the statements below. 1) The coefficient of determination measures the variation...
Answer True or False to the statements below. 1) The coefficient of determination measures the variation in the dependent variable that is explained by the regression model 2) A student might expect that there is a positive correlation between the age of his or her computer and its resale value. 3) The variable that is being predicted in regression analysis is the independent variable. 4) If there is no correlation between the independent and dependent variables, then the value of...
TRUE or FALSE: A correlation coefficient distinguishes between independent and dependent variables.
TRUE or FALSE: A correlation coefficient distinguishes between independent and dependent variables.
True or False. Taxpayer (“T”) an individual calendar year taxpayer can take a deduction for qualifying...
True or False. Taxpayer (“T”) an individual calendar year taxpayer can take a deduction for qualifying medical expenses and the standard deduction in the same year?
True or false 1. Researchers should be careful to control for colliders and confounders, but avoid...
True or false 1. Researchers should be careful to control for colliders and confounders, but avoid controlling for mediators. 2. The only way to control for a possible confounder is to measure it and include it as a predictor in your regression model. 3. Homoskedasticity in regression is the same assumption as Homogeneity of Variance in ANOVA 4. Multilevel models offer one solution to violations of the assumption of independent observations. 5.The assumption of normality states that the values of...
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there...
TRUE OR FALSE: 1. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 2. When the correlation coefficient is close to -1, that means that there is no relationship between the independent variable and the dependent variable. 3. A correlation coefficient of -0.96 would mean that the values of y decrease as the values of x increase.
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation...
True or False: Assuming a linear relationship between X and Y, if the coefficient of correlation (r) equals 0.50, this means that 50% of the variation in the dependent variable (Y) is due to changes in the independent variable (X).
A is TRUE for a Wilcoxon’s rank-sum test. B is FALSE for a repeated measures t-test....
A is TRUE for a Wilcoxon’s rank-sum test. B is FALSE for a repeated measures t-test. A: Assumes that the data is skewed. B: Does not require assumptions of normality. A: Sample variance is used to estimate population variance. B: Assumes the data is skewed. A: Ranking reduces the effects of extreme outliers. B: Assumes the use of only interval scales. A: Does not require assumptions of normality. B: Sample variance is used to estimate population variance.
A is TRUE for a Wilcoxon’s rank-sum test. B is FALSE for a repeated measures t-test....
A is TRUE for a Wilcoxon’s rank-sum test. B is FALSE for a repeated measures t-test. A: Assumes that the data is skewed. B: Does not require assumptions of normality. A: Sample variance is used to estimate population variance. B: Assumes the data is skewed. A: Ranking reduces the effects of extreme outliers. B: Assumes the use of only interval scales. A: Does not require assumptions of normality. B: Sample variance is used to estimate population variance