Answer the following questions about this Pearson’s r correlation. r = -.56, p = .03 Is the correlation statistically significant? How do you know?

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What is the relationship between the amount of time statistics students study per week and their final exam scores? The results of the survey are shown below. Time 11 5 Score 82 68 70 63 62 54 78 69 x-values y-values a. Find the correlation coefficient: r = b. The null and altemative hypotheses for correlation arer Ho: ?v H: ?v to Round to 2 decimal places. = 0 The p-value is: (Round to fsur decimal places) d. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. Select an answer p² = (Round to two decimal places) f. Interpret 2 : Select an answer g. e. The equation of the linear regression line is: = (Please show your answers to two decimal places) h. Use the model to predict the final exam score for a student who spends 7 hours per week studying. Final exam score = (Please round your answer to the nearest whole number.) i. Interpret the slope of the regression line in the context of the question: Select an answer j.…

A Pearson's correlation produces a significant r = -0.32. We can infer that it is a _____ relationship.

Based on the data shown below, calculate the correlation coefficient (to three decimal places) x y 5 16.15 6 14.64 7 14.93 8 14.32 9 15.91 10 15.9   __?__

A set of n = 5 pairs of X and Y values has SSX = 16, SSY = 4 and SP = 2. For these data, what is the Pearson correlation?  Hint: Look VERY carefully at your formula sheet, especially at the alternative definitional formula for r (wow, I can't believe I actually told you that).  a. r = 64/64 b. r = 2/8 c. r = 2/64 d. r = Ö2/8