When is a variable in a regression statistically significant?1 When p is more than alpha.2 When p is more than R2.3 When p is less than alpha.4 When p is less than R2.5 When p is less than the coefficient.

Answered: When is a variable in a regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N = 19 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level a = 0.02. X, X2 50.6 43.6 44.6 31.4 49.4 44.3 41.6 50.7 43 29.2 44.2 25 18.9 31.7 38.6 47.5 47.3 52.2 47.8 36 72 29.2 58.4 72.5 33.4 40.5 49.2 29.9 54 52.5 46.1| 56.9 35.7 70.8 - 10.7 -5.4 45.5 33.6 21.1 60.9 46.6 59.3 38.7 84.6 53.3 49.2 54 49.5 51.4 66.9 17.4 45.5 53.3 42.7 69.6| 86.8 SS.eg F = P-value = What is your decision for the hypothesis test? O Reject the null hypothesis, Ha: B = B = 0 O Fail to reject Ho What is your final conclusion? O The evidence supports the claim that one or more of the regression coefficients is non-zero O The evidence supports the claim that all of the regression coefficients are zero O There is insufficient evidence to support the claim that at…
The standardized regression coefficient expresses the: a. relation between the independent and dependent variable in terms of squared units. b. strength of the correlation between the two variables that are now incorporated into a regression analysis. c. predicted change in the dependent variable in terms of standard deviations for an increase of one standard deviation in the independent variable. d. likelihood of rejecting the null hypothesis with a regression analysis
After running a linear regression with 1-factor, with the market premium, if beta is positive, then? O the stock and the market are positively correlated (move in the same direction) O the stock and the market are negatively correlated (move in the opposite direction) O no meaning O not enough information
12
From the table below, solve the following. b. Find mean of x [Select] X a. Find the Pearson correlation coefficient [Select] c. Find the mean of y [Select] 3 7 8 10 6 5 d. Find the regression equation [Select] [Select] y = 1.05 +0.92x y = 3.74 +0.68x y = 4.08 +0.81x y = 5.13 +0.73x y 4 11 12 7 5 3
10.2.13 Question Help The data show the chest size and weight of several bears. Find the regression equation, letting chest size be the independent (x) variable. Then find the best predicted weight of a bear with a chest size of 58 inches. Is the result close to the actual weight of 632 pounds? Use a significance level of 0.05. Chest size (inches) Weight (pounds) 46 57 53 41 40 40 384 580 542 358 306 320 Click the icon to view the critical values of the Pearson correlation coefficient r. What is the regression equation? y =+ x (Round to one decimal place as needed.) Enter your answer in the edit fields and then click Check Answer. 2 parts remaining Clear All Check Answer 9:31 PM P Type here to search 4/26/2021
PLEASE ANSWER DONT REJECT
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N = 15 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level a = 0.01. X1 X2 Y 38.4 58.8 48.2 63.4 47.9 55.6 48.4 54.6 33.1 54.9 48.7 47.4 54.8 54.2 51.7 44.1 78.6 64.8 55.3 48 38.6 56.8 54.3 34.1 56.5 61 42.6 52.1 49.2 35.8 57.5 49.4 51.2 55.3 66.7 56.7 57.5 53.5 25.6 71.8 64.4 63.3 29.1 62.8 56.7 Sreg SS.res R F P-value =
A researcher would like to predict the dependent variable Y from the two independent variables X1 and X2 for a sample of N=15 subjects. Use multiple linear regression to calculate the coefficient of multiple determination and test the significance of the overall regression model. Use a significance level α=0.01. X1X1 X2X2 YY 44.5 64.2 39.3 27.4 58.2 18.8 37.6 74 40.2 40.5 12.1 73.3 33.4 60.8 15.5 0.3 21.7 27.4 91.4 57 69.8 56.4 58.9 98.4 30.8 46.8 40 54 83.2 31.5 31.6 66.2 29.8 37.5 57.1 46.7 55.3 38.7 99.8 66 61.2 84.1 53.7 37.9 45.9 SSreg=SSres=R2=F= P-value =
The following table gives information on the amount of sugar (in grams) and the calorie count in one serving of a sample of 13 varieties of Kellogg's cereal. Sugar (grams) 4. 15 12 11 8. 8 14 20 13 Calories 140 200 150 110 140 80 200 100 120 190 || 190 110 120 %3D The predictive regression equation of the number of calories on the amount of sugar is y = 97.555 + 4.730x, where x is amount of sugar (in grams) and y is calories. Estimate the calorie count for a cereal with 54 grams of sugar per serving. Round your answer to the nearest integer. calories
When testing for bl in a regression model, the null hypothesis (2-tailed) is b1=0. Why? O Then the alternative hypothesis can be b0=1 This indicates that bl=b2 This indicates that bl=b0 A change in x does not result in a change in y
Consider the following correlations -0.9 , -0.5 , -0.2 , 0 , 0.2 , 0.5 and 0.9. For each give the fraction of the variation in y that is explained by the least-squares regression of y on x.

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1		When p is more than alpha.
2		When p is more than R².
3		When p is less than alpha.
4		When p is less than R².
5		When p is less than the coefficient.

When is a variable in a regression statistically significant? 1 When p is more than alpha. 2 When p is more than R2. 3 When p is less than alpha. 4 When p is less than R2. 5 When p is less than the coefficient.