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6.
The multiplication of 2 variables basically represents an "interaction" term, which can be used as a predictor variable which jointly affects the response.
The 'interaction' term if statistically significant can be used as a predictor for the response variable.
Answer: TRUE.
Question 6 1 pts The multiplication of two variables is used as a predictor if the...
The multiplication of two variables is used as a predictor if the two variables jointly affect the response. True O False Question 7 1 pts Even if the P-value of the F test in a multiple regression model is nearly zero, it is possible that the R of the model is much less than one. OT False Question 8 1 pts in selecting independent variables for a regression model, neither the forward selection method nor the backward elimination method guarantee...
Question 15 3 pts A multiple regression model involves 3 predictor variables and a sample of 20 data points. If we want to test the usefulness of the model at the 1% significance level, the critical value of the rejection region is (ROUND TO TWO DECIMALS): 5.33
Question 7 2 pts Multiple regression is the process of using several independent variables to predict a number of dependent variables. O True False
Question 2 1 pts In an ANOVA test comparing several population means, if the alternative hypothesis is true, the F statistic tends to be close to zero. True False Question 3 1 pts If the two variables in a two-way table are not associated, the conditional distributions in the table are similar to each other. O True False Question 4 1 pts In a multiple regression model, if the P-value associated with the F test is less than the significance...
Question 11 2 pts For linear ODEs, linear interpolation can be used with the shooting method to guarantee the correct solution on the third "shot" O True O False Question 12 2 pts Partial differential equations have more than one independent variable. O True O False
Question 8 to question 19 are true or false Subject: ADMN210- Applied Business Statistics 8) A hypothesis test always contains the possibility of committing one of two types of errors callled Type I and Type lI errors d u e avoda b 9) The null hypothesis is rejected if the p-value is greater than the significance level 10) The probability of committing a Type I error is called the level of significance 11) In hypothesis testing the statistical conclusion is...
D Question 7 2 pts Only coefficients with a large standard error can be statistically significant. True False D Question 8 1 pts If you estimate a regression model and the R-square is 0.50, how much of the variation in the dependent variable is explained by the independent variables O 10% O 25% 50% О 100%
questions 4-6 D Question 4 2.08 pts As the required rate of return of an investment decreases, the market price of the investment decreases. ○True O False D Question 5 2.08 pts Proper diversification generally results in the elimination of risk. O True ○ False 2.08 pts D Question 6 Total risk equals systematic (market) risk plus unsystematic (hirm-specific) risk. O True ○ False MacBook Air 名 F5 F7 8 9
Question 5 (1 point) The multiple regression model includes several dependent variables. True False Question 6 (1 point) Dummy variables for regression analysis can take on a value of either -1 or +1. True False Question 7 (1 point) The several criteria (maximax, maximin, equally likely, criterion of realism, minimax regret) used for decision making under uncertainty may lead to the choice of different alternatives. True False Question 8 (1 point)
[For questions 10-15] Consider the following multiple regression model with two right-hand-side variables. Y; = bo + by Xli + b2 X 2 +e Question 10 1 pts Please answer whether the following equation is true or false. Y; = bo + b1 X1 + b2 X2i True False D Question 11 1 pts Please answer whether the following equation is true or false. et =Y - Ý True O False