You have three variables: response variable=income and the predictor variables are years of college (measured in years) and years of experience (measured in years). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
Since response variable is continuous and we want to predict response variable=income through the predictor variables i.e. years of college (measured in years) and years of experience (measured in years) so we use multiple linear regression.
Answer: Linear regression
You have three variables: response variable=income and the predictor variables are years of college (measured in...
You have two variables: response variable=donate (yes or no) and the predictor variable is income (measured in dollars). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
You have three variables: response variable= student loan debt amount (measured in dollars) and the predictor variables are year in school (fr,so,jr,sr) and parents assisting (yes or no). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
You have three variables: response variable=respond (yes or no) and the predictor variables are gender (male or female) and year in school (fr, so, jr, sr). Would you use ANOVA, Linear regression, or Logistic regression in this situation and why?
Regression - response variable versus predictor variable. Provide examples of predictor variables that would be helpful in "predicting" a response variable. Also, what happens if these two are switched, that is, the "y" variable is used as the "x" variable.
Suppose you have two variables: GPA and age. Which one would be the response variable and why? Could either be the response variable?
Q6). Suppose that you want to fit two separate regression lines on the same data set - For the first least square fit, Y is the response variable and X is the predictor variable For the second least square fit, X is the response variable and Y is the predictor variable. (a). Show that the product of the slope estimates from the two regression lines is Show that the above two regression lines will never be perpendicular to each other...
4. The following table lists the explanatory variables used to explain the response variable breastfeeding. The response variable was binary (Y/N), did the mother breastfeed or not. All possible categories for the explanatory variables are listed below as well. Variable Education Categories High school or lower Some college Undergraduate degree Graduate Degree Full Time Part Time Cesarean Natural Work Status Method of delivery The following 95% confidence intervals of the odds ratios were generated once the logistic regression model was...
Decide (with short explanations) whether the following
statements are true or false.
e) In a simple linear regression model with explanatory variable x and outcome variable y, we have these summary statisties z-10, s/-3 sy-5 and у-20. For a new data point with x = 13, it is possible that the predicted value is y = 26. f A standard multiple regression model with continuous predictors and r2, a categorical predictor T with four values, an interaction between a and...
Assume that vou build a multiple linear regression model using three independent predictor variables, You initialy determine that X1 should be included in the model. You then test the other model combinations that indlude X1. Based on the results below, Which model would you choose and why? Std. Adj R Error Model R2 X1 0.85 0.841 2969.57 X1+X2 0,852 0.834 |3031.69 0.888 2491.95 0.902 0.884 2539.88 X1+X3 0.9 Full X1+X2. It has the lowest Adj R and the highest Standard...
You build several models predicting job performance (sales dollars in thousands) using years of industry experience as a predictor. The slope of years of industry experience is .40 (p < .0001) for a simple linear regression and 60 (p<.0001) when including three other predictors (education level, SAT score, and age) in a multiple linear regression. Which of the following statements are correct (check all that apply)? Select one or more a. Holding education level, SAT score, and age constant, we...