11 Exam- Requires Respondus LockDown Browser :1: Question 3 (1 point) 2 3 Listen The following output is from a study which focused on people with ME. They were given a set of neuropsychological computerized tests, and after the testing session, 6 they self-rated their general fatigue. The predictor variable was a measure of mean initial thinking time. Model Summary Mode Adjusted R Square Square Std. Error of the Estimate 463 187 3.00914 Information a Predictors Mean initial thinking time ANOVA Model Sum of Mean Squares of Square Sig. Regression 71.607 71.607 .908 009 Residual 262 593 29 9 055 Total 334.200 a. Predictors: (Constant). Mean initial thinking time b. Dependent Variable: fatigue Coefficients" Model Standards Unstandardised 95.0% Confidence Coefficients Coefficient Interval for B Lower Upp and Error Bete Bound Bound Constant 1.834 20.933 10.678 12. 990 Mean Initial thinking 191 463 2.812 009 2.057 time Which is correct? The regression equation is y -: None of the other answers 11.191x - 11.834 11.834x - 1.191 1.191x + 11.834Question 4 (1 point) )Listen w The following output is from a study which focused on people with ME. They were given a set of neuropsychological computerized tests, and after the testing session, 6 they self-rated their general fatigue. The predictor variable was a measure of mean initial thinking time. 9 Model Summary Mode Adjusted R Square Square Sid. Error of the Estimate 463' 214 187 3.00914 lation a. Predictors: Mean initial thinking time ANOVA | Model Sum of Mean Squares Square Sig. Regression 71.607 71.607 .908 009 Residual 262.593 29 9.055 Total 334.200 a. Predictors: (Constant), Mean initial thinking time b. Dependent Variable: fatigue Coefficients" Mode Standardise Unstandardised 95.0% Confidence Coefficients Coefficients Interval for B Lower Upper B Sid Error Bete Bound Bound (Constant) 11.834 565 20.933 10.678 12.990 Mean initial thi 423 463 2.812 009 325 2.057 The measure of mean initial thinking time: significantly predicted fatigue, t=2.812, p-value=0.009 did not significantly predict fatigue, t=2.812, p-value=0.009 significantly predicted fatigue, t=29.99, p-value