We want to predict a person's happiness from the following variables: degree of optimism, success in school, and number of close friends. What type of statistical test can tell us whether these variables predict a person's happiness?
a. factorial ANOVA
b. multiple comparison
c. regression
d. multiple regression
Question 2
A multiple regression analysis was used to test the values of visual acuity, swing power, and cost of clubs for predicting golf scores. The regression analysis showed that visual acuity and swing power predicted significant amounts of the variability in golf scores, but cost of clubs did not. What can be concluded from these results?
a. Cost of clubs and golf scores are not correlated.
b. Cost of clubs adds predictive value above and beyond the predictive value of visual acuity and swing power.
c. The regression coefficient of cost of clubs is equal to zero.
d. Removing cost of clubs from the overall model will not reduce the model's R2 value significantly.
Success, You Rock, Achievement
Independent and Dependent Variables
Scatterplots of Variables Having Several Different Levels of Correlation
Pelvis and knee rock. Hold the feet again for a moment, and move to the person’s right side. Place ...
Discrete random variables- Probability Distribution Function
(left) Urine sample from an unaffected person does not change color upon exposure to air. (right) Ur