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- NoneMm1Use the technology display to make a decision to reject or fail to reject the null hypothesis at a=0.01. Make the decision using the standardized test statistic and using the P-value. Assume the sample sizes are equal Click the icon to view the technology display. Choose the correct answer below. O A. Reject the null hypothesis because the P-value is less than the level of significance. OB. Reject the null hypothesis because the P-value is greater than the level of significance OC. Fail to reject the null hypothesis because the P-value is greater than the level of significance OD. Fail to reject the null hypothesis because the P-value is less than the level of significance CHI Technology Output μ1> μ2 z 2.609496821 p=0.0045337744 x1 = 47 x2 = 44 In1=45 2-SampZTest Print Done - X
- Regression analysisScaling the regression model results Hi, I used scaling function in the OLS model in R as follows: Summ (Model.A, scale= TRUE). The results came up with a note as follows: "All continuous predictors are mean-centred and scaled by 1 standard deviation" Now I have 2 questions: 1. What does 'the continuous predictors' mean? If my predictors are 3/4/5 scales, are they continuous? For example, is a Likert scale considered as continuous here? 2. I am trying to apply the same scale function in a Multi-level Model. But it is not working. Can you please suggest me, what is the problem, or what package do I need to use to get the model results with scale? I use lme4 package (lmer function). Thank you.Regression
- What is a residual for a multiple regression model and the data that is used to create it? Select one. A statistic that is used to evaluate the significance of the multiple regression model A statistic that explains the relationship between response and predictor variables The predicted value of the response variable using the multiple regression model The difference between the actual value of the response variable and the corresponding predicted value (regression error) using the multiple regression modelPredicting final exams How well do exams given duringthe semester predict performance on the final? One classhad three tests during the semester. Computer output ofthe regression givesDependent variable is Finals = 13.46 R-Sq = 77.7, R-Sq(adj) = 74.1,Predictor Coeff SE(Coeff) t-Ratio P-ValueIntercept -6.72 14.00 -0.48 0.636Test1 0.2560 0.2274 1.13 0.274Test2 0.3912 0.2198 1.78 0.091Test3 0.9015 0.2086 4.32 60.0001Analysis of VarianceSource DF SS MS F-Ratio P-ValueRegression 3 11961.8 3987.3 22.02 60.0001Error 19 3440.8 181.1Total 22 15402.6a) Write the equation of the regression model.b) How much of the variation in final exam scores isaccounted for by the regression model?c) Explain in context what the coefficient of Test3 scoresmeans.d) A student argues that clearly the first exam doesn’t helpto predict final performance. She suggests that this examnot be given at all. Does Test1 have no effect on the finalexam score? Can you tell from this model? (Hint: Doyou think test scores are…Numerical methods example
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