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Question 41 2 pts This question and the next question are based on the following same...
If you were to develop a linear regression equation that uses autonomy at work to predict...
If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the Y-Intercept (a) of the regression equation? Use the slope (b) obtained from the previous question to answer this question. Autonomy Job satisfaction (Y) n 8 8 Mean My=4 My 7 Variability SSX-28 SSY - 156 SP-56 Pearson r.85 -10 1 2 pts Question 43 Correlation' is to 'regression' as significance to non significant 'samples are to populations relationship...
--FACTOR ANOVA: SEE 408 RSON CORRELATION: SEE P. 465 GRESSION: SEE P. 467 -SQUARE GOODNESS OF...
--FACTOR ANOVA: SEE 408 RSON CORRELATION: SEE P. 465 GRESSION: SEE P. 467 -SQUARE GOODNESS OF FIT: SEE P.501 1-SQUARE TEST FOR INDEPENDENCE: SEE P.502 4 pts Question 33 This regression problem (chp 14) can be solved with SPSS (steps p.500) and/or by hand. In the height and income study for men, height was classified into 5 categories from 1-tallest to 5-shortest and had a mean of Mx-3 with a SSx=20. Income, measured in thousands, had a mean score of...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Questions 2, 5, 8 and 9 Paused Apps M Gmail YouTube Maps Question 2 0.5 pts...
Questions 2, 5, 8 and 9
Paused Apps M Gmail YouTube Maps Question 2 0.5 pts For a simple linear regression, the standardized regression coefficient (Beta) is: O equal to the Pearson correlation coefficient. unrelated to the correlation value. O the square root of the slope. O the square of the r statistic. 1 pts Question 3 Question 5 0.5 pts If the standard error of the estimate is zero, the relation between two variables is: perfect imperfect curvilinear. unknown...
please answer all question (2-5) thanks Question 2 1 pts As the number of hours a...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
2 pts. when regression line has no slope, we can still predict Y from X because...
2 pts. when regression line has no slope, we can still predict Y from X because the line still has a y intercept. A. True B. False 34. 2 pts. Can we infer causality between two variables solely on the basis of their correlation? A. Yes, we can infer causality. B. No, we cannot infer causality. 35. 2 pts. Which of the following is the fundamental task of regression? A. Correctly plotting all of the points on a scatter plot....
This Question: 1 pt 10 of 10 (7 complete) This Quiz: 10 pts possible A Question...
This Question: 1 pt 10 of 10 (7 complete) This Quiz: 10 pts possible A Question Help O Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $125 million. Use a significance level of a = 0.05. Budget ($)in Millions 39 24 114 66 80 53...
Question 4 1.5 pts Which of the following statement is true based on the following regression...
Question 4 1.5 pts Which of the following statement is true based on the following regression equation? IQ = 4.0 + Reading Label * 5.6 A unit point change in IQ will result in 5.6-point increase in reading label. O A unit point change in IQ will result in 9.6-point increase in reading label. A unit point change in reading label will increase IQ by 5.6 point Reading label is not a good predictor of IQ. Question 5 1.5 pts...
Question 1 1 pts question 1- based on the sample data summarized by the following information:...
Question 1 1 pts question 1- based on the sample data summarized by the following information: n = 5, L r = 25, x2 = 165 Sy=24, y = 134, ry=144 1<x<9 1. Compute the linear correlation coefficient r- 0.875 0.635 0.576 O 0.738 0.925 Question 2 1 pts 2. The least squares regression line equation for this data should be 0.6.0 + 1.8 y = -0.63 +1.8 O j = 0.62 - 1.8 y = -0.6 - 1.8 Question...
explain answers Question 5 0/1 pts In a skills competition involving many different events, two particular...
explain answers
Question 5 0/1 pts In a skills competition involving many different events, two particular contestants were tied on each and every event always getting the identical scores. The scores they achieved, however, differed from event to event. For the competition, the correlation between the scores of these two contestants IS: Correct Answer inappropriate because the variable "event is categorical. You Answered impossible to determine without knowing the actual scores Question 17 0 1 pts Recall that when we...
If you were to develop a linear regression equation that uses autonomy at work to predict job satisfaction, what would be the Y-Intercept (a) of the regression equation? Use the slope (b) obtained from the previous question to answer this question. Autonomy Job satisfaction (Y) n 8 8 Mean My=4 My 7 Variability SSX-28 SSY - 156 SP-56 Pearson r.85 -10 1 2 pts Question 43 Correlation' is to 'regression' as significance to non significant 'samples are to populations relationship...
--FACTOR ANOVA: SEE 408 RSON CORRELATION: SEE P. 465 GRESSION: SEE P. 467 -SQUARE GOODNESS OF FIT: SEE P.501 1-SQUARE TEST FOR INDEPENDENCE: SEE P.502 4 pts Question 33 This regression problem (chp 14) can be solved with SPSS (steps p.500) and/or by hand. In the height and income study for men, height was classified into 5 categories from 1-tallest to 5-shortest and had a mean of Mx-3 with a SSx=20. Income, measured in thousands, had a mean score of...
Question 24 2 pts Arnold calculates a Pearson correlation and obtains a value of -1.07. By definition, this implies he has made a mistake in his calculations there is a negative and strong relationship between the two variables the distribution of scores for the variables are negatively skewed he will not reject the null hypothesis Question 25 2 pts For which of these research situations would you most likely calculate a Pearson correlation? X variable = political affiliation; Y variable...
Questions 2, 5, 8 and 9
Paused Apps M Gmail YouTube Maps Question 2 0.5 pts For a simple linear regression, the standardized regression coefficient (Beta) is: O equal to the Pearson correlation coefficient. unrelated to the correlation value. O the square root of the slope. O the square of the r statistic. 1 pts Question 3 Question 5 0.5 pts If the standard error of the estimate is zero, the relation between two variables is: perfect imperfect curvilinear. unknown...
please answer all question (2-5) thanks
Question 2 1 pts As the number of hours a student studies increases, the number of errors made on the exam decreases. There is a strong relationship between these variables. Select the value for the pearson correlation (r) that would be appropriate 0-0.7 0-0.4 o 0.6 o 1.0 Question 3 1 pts The following APA summary was reported for a one-sample t-test (two-tailed, alpha = .05). t(15) = 3.3, p = .003 Which of...
2 pts. when regression line has no slope, we can still predict Y from X because the line still has a y intercept. A. True B. False 34. 2 pts. Can we infer causality between two variables solely on the basis of their correlation? A. Yes, we can infer causality. B. No, we cannot infer causality. 35. 2 pts. Which of the following is the fundamental task of regression? A. Correctly plotting all of the points on a scatter plot....
This Question: 1 pt 10 of 10 (7 complete) This Quiz: 10 pts possible A Question Help O Listed below are paired data consisting of movie budget amounts and the amounts that the movies grossed. Find the regression equation, letting the budget be the predictor (x) variable. Find the best predicted amount that a movie will gross if its budget is $125 million. Use a significance level of a = 0.05. Budget ($)in Millions 39 24 114 66 80 53...
Question 4 1.5 pts Which of the following statement is true based on the following regression equation? IQ = 4.0 + Reading Label * 5.6 A unit point change in IQ will result in 5.6-point increase in reading label. O A unit point change in IQ will result in 9.6-point increase in reading label. A unit point change in reading label will increase IQ by 5.6 point Reading label is not a good predictor of IQ. Question 5 1.5 pts...
Question 1 1 pts question 1- based on the sample data summarized by the following information: n = 5, L r = 25, x2 = 165 Sy=24, y = 134, ry=144 1<x<9 1. Compute the linear correlation coefficient r- 0.875 0.635 0.576 O 0.738 0.925 Question 2 1 pts 2. The least squares regression line equation for this data should be 0.6.0 + 1.8 y = -0.63 +1.8 O j = 0.62 - 1.8 y = -0.6 - 1.8 Question...
explain answers
Question 5 0/1 pts In a skills competition involving many different events, two particular contestants were tied on each and every event always getting the identical scores. The scores they achieved, however, differed from event to event. For the competition, the correlation between the scores of these two contestants IS: Correct Answer inappropriate because the variable "event is categorical. You Answered impossible to determine without knowing the actual scores Question 17 0 1 pts Recall that when we...
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