A psychology professor studies the relationship between anxiety(X) and test performance (Y). Ten students take an anxiety questionnaire prior to taking the final exam. Below is the SPSS printout of the regression equation. Correlations   Anxiety FinalExam Anxiety Pearson Correlation 1 -.691* Sig. (2-tailed)   .027 N 10 10

You conducted a regression analysis between the number of absences and number of tasks missed by your 5 classmates in Statistics and Probability. It resulted that the regression line is y = 0.65x + 1.18. What is the predicted number of tasks missed of a learner who is always present? O a. The learner has 1 task missed. O b. The learner has less than 2 tasks missed. O c. The learner has more than 2 tasks missed. o d. The learner has no task missed.

Consider a regression that uses X = # of 60 pound bench press repetitions to predict Y = maximum bench press amount in pounds…..for the ith student among a sample of high school athletes.  The estimated predicted sample regression is as follows Maxi= 68.91 + .6885Repsi            *the ei is left off for simplicity   The table below lists the actual data from which the regression above was estimated.  For example, a student in the study who trained by doing 12 “60 pound reps” accomplished a maximum bench press amount of 76 pounds.   Xi Yi 12 76 15 82 17 79 3 71   Predict the average maximum bench press for a student that does 17 “60 pound reps”      a)  a.  around 68.85 pounds   b)  b.  around 85.00 pounds   c)  c.  around 80.61 pounds   d)  d.  around 68.91 pounds

Which of the following will help to mitigate confounding? A. Multiple regression modelB. RandomizationC. StratificationD. All of the above

The output below shows the relationship between stress and job performance: Correlation   Stress Job performance Stress Pearson Correlation 1   Sig. (2-tailed)     N 213   Job performance Pearson Correlation -.682** 1 Sig. (2-tailed) .000   N 213 213 **. Correlation is significant at the 0.01 level (2-tailed).     Question: The correlation output shows what type of relationship?

You generate a scatter plot using Excel. You then have Excel plot the trend line and report the equation and the r2r2 value. The regression equation is reported asy=55.82x+32.43y=55.82x+32.43and the r2=0.3136r2=0.3136.What is the correlation coefficient for this data set?r =

Suppose that you run a correlation and find the correlation coefficient is -0.281 and the regression equation is y = 27.68 2.2x. The mean for the data values was 4.9, and the mean for the Y data values was 17. AT Test for the slope of the regression line is performed, and the p-value is greater than the level of significance of 0.05. Use the appropriate method to predict the y value when x is 2.3.

An r value of .8 indicates a strong positive correlation.  True  False

Using a sample of 46 college students, we want to determine if there is a significant correlation between weight (in lbs.) and weekly exercise (in minutes). The results of a correlation and regression analysis are indicated in the Excel output below. The mean weight (the independent variable) was 166.80 lbs., and the mean weekly exercise time (the dependent variable) was 158.83 minutes.         SUMMARY OUTPUT                           Regression Statistics           Multiple R 0.027082077           R Square 0.000733439           Adjusted R Square -0.021977165           Standard Error 79.41761298           Observations 46                         ANOVA               df SS MS F Significance F   Regression 1 203.6896 203.6896 0.032295 0.858207   Residual 44 277514.9 6307.157       Total 45 277718.6                         Coefficients Standard Error t Stat P-value Lower 95%…

o pis pe Suppose a doctor measures the height, x, and head circumference, y. of 11 children and obtains the data below. The correlation coefficient is 0.899 and the least squares regression line is y = 0.185x+ 12.276. Complete parts (a) and (b) below. Height, x Head Circumference, y 17.4 17.1 17.2 16.9 17.4 17.1 17.1 17.3 17.3 17.3 17.4 27.75 25.75 26.75 25.75 28 26.5 25.75 26.75 27 27.25 27.25 (a) Compute the coefficient of determination, R?. R2 = % (Round to one decimal place as needed) (b) Interpret the coefficient of determination k Approximately % of the variation in (Round to one decimal place as needed.) is explained by the least-squares regression model. Enter your answer in each of the answer boxes. Save for Later DUE RTTT:DY PIVT Score: o:5SYO Tor Tv attempts 3:35 PA- a 2/22/202 Type here to search insert prt sc 4+ backsp %23 6. 8.