This statement is false.
Answer : False
Explanation : Regression equation is quite useful but suppose our dependent variable y is categorical rather than continuous then in such case regression won't be the best predictor.
Please give thumbs up if you like the answer.
Question 2: TRUE or FALSE: The regression equation is always the best predictor of a y-value...
TRUE or FALSE: The regression equation is always the best predictor of a y-value for a given value of x. Defend your answer.
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a beachball with a diameter of 44.6 cm. How does the result compare to the actual circumference of 140.1 cm? Use a significance level of 0.05. Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a beachball with a diameter of 44.6 cm. How does the result compare to the actual circumference of...
12. (Ch13.5) True or False? The effect of a binary predictor in a multiple regression with three predictors (two of them are continuous, one is binary) is to shift the regression fitting plane up or down 13. (Ch13.5) True or False? Unlike other predictors, the student's t for testing the significance of a binary predictor is either 0 or l1 14. (Ch13.5) In a multiple regression model of student grades, we would code the nine categories of business courses taken...
Discuss the following statements and explain why they are true or false. (a) Increasing the number of predictor variables will never decrease the R2. (b) Multicollinearity affects the interpretation of the regression coefficients. (c) The variance inflation factor of ˆ βj depends on the R2 of the regression of the response variable y on the predictor variable xj. (d) A high leverage point is always highly influential. (e) All criteria for the selection of the best regression equation lead to...
Given that the equation of a regression line is y^=-3.5x+4.7, what is the best predicted value for y given that x = -1.7? Assume that the variables x and y have a significant correlation.
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marble with a diameter of 1.8 cm. How does the result compare to the actual circumference of 5.7 cm? Use a significance level of 0.05. Baseball Basketball Golf Soccer Tennis Ping-Pong Volleyball 7. 3 2 4.3 4.3 22.3 6.9 4.0 20.5 Circumference 22.9 76.3 13.5 70.1 21.7 12.6 64.4 Click the icon to view the critical values of the Pearson correlation...
Find the regression equation, letting the diameter be the predictor (x) variable. Find the best predicted circumference of a marblemarble with a diameter of 1.7 cm. How does the result compare to the actual circumference of 5.3 cm? Use a significance level of 0.05 _ Diameter Circumference Baseball 7.4 23.2 Basketball 24.4 76.7 Golf 4.2 13.2 Soccer 21.9 68.8 Tennis 7.0 22.0 Ping-Pong 4.0 12.6 Volleyball 20.9 65.7 The regression equation is ModifyingAbove y with caretyequals=nothingplus+nothingx. (Round to five decimal...
(True, False) 4. Stepwise regression (e.g., Forward-selection) always leads to the best model defined in one of the popular criteria such as adjusted-R2, AIC, SBC.
HES Question Help ons Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 31 years. Is the result within 5 years of the actual Best Actor winner, whose age was 53 years? nesth rad Best Actress 29 30 28 64 31 35 43 29 60 22...
In regression, a predictor that has a lowp-value is unlikely to be a meaningful addition to the model. True False