Which of the following is not an assumption about the population errors in linear regression?
No Collinearity |
Normally Distributed |
Equal Variance |
Independence |
Linearity |
Which of the following is not an assumption about the population errors in linear regression? No...
19. (2pts) Which of the following is NOT an assumption in simple linear regression? o The &i's have variance o2. o The Ɛi's are normally distributed. o The response variable y is normally distributed for each value of x. O The εi's are linearly related to x. 20. (2pts) The Central Limit Theorem states that the sampling distribution of X1 – X2 is (approximately) normal: o When at least one of the sample sizes is greater than or equal to...
Q. 21 The assumptions of the simple linear regression model include: a. the errors are normally distributed b. the error terms have a constant variance c. the errors have a mean of zero d. All of the above e. a and c only
Choose: The logistic regression model shares the following assumption with the “regular” OLS regression model. 1)linear associations 2)normal distribution 3)homoscedasticity 4)homogeneity of variance
Which of the following are assumptions for the linear regression model? CHECK THAT ALL MAY APPLY!!! Select one or more: a. Regression function (i.e., equation) is linear. b. Error terms are normally distributed. c. Error terms are independent. d. Error terms have constant variance. e. Regression model fits all observations (i.e., no outliers).
Which of the following is NOT an assumption about nonparametric tests? a.They do not involve the estimation of population parameters. b.The expected frequencies are based on the row and column frequencies for a sample rather than on assumptions regarding how frequencies for the two variables are distributed in the population c. Data from a sample is being used to estimate the population parameter. d.They do not require variables to be normally distributed.
Question 19 1 pts In ANOVA, the assumption of normality is... the population is normally distributed the individual scores are normally distributed the residuals are normally distributed the group scores are normally distributed Question 20 1 pts In ANOVA, the assumption of independence is... the groups are independent, no overlapping group members the scores are independent, no correlation between scores from different groups the residuals are independent the residuals are correlated
1. In simple linear regression analysis, we assume that the variance of the independent variable (X) is equal to the variance of the dependent variable (Y) True False 2. The standard deviation of the sampling distribution of the sample mean is the same as the population standard deviation. True False 3. If n=20 and p=.4, then the mean of the binomial distribution is 8 True False 4. If a population is known to be normally distributed, then it follows that...
The model assumptions for multiple regression analysis are : 1. Normally distributed errors 2. Constant variance of the errors 3. Independent errors True False
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.