Question

In the simple linear regression equation, (y a+ bx+ e), the a is the... O A. independent variable O B. slope of the fitted line C. dependent variable O D.y-intercept Reset Selection Question 2 of 5 1.0 Points In the simple linear regression equation, (y a+bx+ e) the y is the O A. independent variable O B. dependent variable O C. slope of the fitted line D. y-intercept Question 3 of 5 1.0 Points The R2 for a regression model tells you the... A. amount of error in the model B. % of variation in the dependent variable explained by the model C.correlation between the independent variables 0 D. impact of independent variables on the odds of an event occurring

Answer 1

the simple linear regression model is, (general form) y = a + bx + e where, a = y-intercept b = slope of the fitted line y = dependent variable x = independent variable e = error in the simple linear regression equation y = a + bx + e , then a is y- intercept in the simple linear regression equation (y = a + bx) , then y is dependent variav = ble the R^2 for regression model tells you the % variation in the dependent variable explained by the model here R^2 is called coefficient of determination its value represent the percentage of variation in the independent variable explained by the model logistic model is appropriate for binary dependent variable so,when the response variable or dependent variable is binary then we can use the logistic model. binary means it has only two out comes in order to use simple linear refression, you must have approximately linear relationship between the variable so, when their is liear relationship between two variable, then we can use simple linear regression