Based on the following data, construct the ANOVA table and figure out the R² and R² by hand, and then check your results based on the JMP. X 1 2 3 4 5 6 7 8 y 19.9 37.5 62.3 79.4 102.5 119.1 142.7 158.5 Finish the ANOVA table (To save your time, I give you SS residual= 27.499) Source Model(Reg) Error(Residual) Total R²=? R²adj =? DF Sum of Squares 27.499 Mean Squares F ratio Show me your calculation procedure Based on the JMP result, write the specific prediction equation (i.e.ŷ=?) Explain the meaning of parameters in the prediction equation and the meaning of R². adj

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The data screening for the ANOVA involves:     examining the histogram for the independent variable     examining the scatterplot for the dependent variable     examining the histogram for the dependent variable     examining the scatterplot for the independent variable

A researcher believes that low BMI levels are indicators of eating disorders. He collects BMI of a sample of young adults identified as at risk for eating disorfers to see if their mean BMI is significantly below 18.5 What test would you use and why? (z test, independent t test, single sample t test, paired samples)

Fill in the missing entries in the partially. completed one-way ANOVA table. Complete the table below. Source Treatment 4 R F df V 29 T Error Total (Type integers or decimals rounded to three decimal places as needed.) G B SS 1.202 6 Y MS=SS/df 0.601 H of A 7 N U J Source Treatment * 00 Error Total F-statistic 0.72 8 M ( 9 K df 29 дв O < I cmd O L SS 1.202 P ^. I MS=SS/df 0.601 + 11 [ option F-statistic 0.72 1 delete

Suppose IQ scores were obtained for 20 randomly selected sets of siblings. The 20 pairs of measurements yield y = 97.75, r 0.924, P-value = 0.000, and y = 0.11 + 0.99x, where x represents the IQ score of the older child. Find the best predicted value of y given that the older child has an IQ of 95? Use a significance level of 0.05. %3D Click the icon to view the critical values of the Pearson correlation coefficient r. The best predicted value of y is (Round to two decimal places as needed.)

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Let’s say a researcher wants to determine if having a visible tattoo could significantly lower the attractiveness rating of an individual. In the study, a sample of subjects looked at a set of 30 photographs and rated the attractiveness of each individual using a 10-point scale (10 = most attractive). One photograph appears twice in the set, once with a tattoo and once with the tattoo removed. The results are shown below. Use a repeated-measures ANOVA with a = 0.05 to determine whether the mean difference between treatments is significant.

Listed below are systolic blood pressure measurements (mm Hg) taken from the right and left arms of the same woman. Assume that the paired sample data is a simple random sample and that the differences have a distribution that is approximately normal. Use a 0.10 significance level to test for a difference between the measurements from the two arms. Identify the test statistic and p-value. Right arm Left arm 144 167 OA.T-3.07, p-value = 0.037 OB. T = -2.32, p-value = 0.081 OC. T = -1.93, p-value = 0.127 OD. T = -4.01, p-value = 0.016 133 161 132 179 138 145 136 144