A study was done to look at the relationship between number of movies people watch at the theater eachyear and the number of books that they read each year. The results of the survey are shown below.Movies231.5492Books1410313| 824a. Find the correlation coefficient: r =-0.82f Round to 2 decimal places.b. The null and alternative hypotheses for correlation are:Ho: pvH1: pv= 0The p-value is: 0.0005o Round to 4 decimal places.c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the contextof the study.O There is statistically significant evidence to conclude that a person who watches fewer movieswill read fewer books than a person who watches fewer movies.There is statistically significant evidence to conclude that there is a correlation between thenumber of movies watched per year and the number of books read per year. Thus, theregression line is useful.O There is statistically significant evidence to conclude that a person who watches more movieswill read fewer books than a person who watches fewer movies.O There is statistically insignificant evidence to conclude that there is a correlation between thenumber of movies watched per year and the number of books read per year. Thus, the use ofthe regression line is not appropriate.d. r2 =0.67V (Round to two decimal places) oe. Interpret r2:O There is a large variation in the number books people read each year, but if you only look atpeople who watch a fixed number of movies each year, this variation on average is reduced by67%.O Given any fixed number of movies watched per year, 67% of the population reads the predictednumber of books per year.O There is a 67% chance that the regression line will be a good predictor for the number of bookspeople read based on the number of movies they watch each year.O 67% of all people watch about the same number of movies as they read books each year.f. The equation of the linear regression line is:* (Please show your answers to two decimal places)g. Use the model to predict the number of books read per year for someone who watches 8 movies peryear.Books per year = -1.19x (Please round your answer to the nearest whole number.)h. Interpret the slope of the regression line in the context of the question:O For every additional movie that people watch each year, there tends to be an averagedecrease of 1.36 books read.O As x goes up, y goes down.O The slope has no practical meaning since people cannot read a negative number of books.i. Interpret the y-intercept in the context of the question:O If someone watches 0 movies per year, then that person will read 10 books this year.O The best prediction for a person who doesn't watch any movies is that they will read 10 bookseach year.O The average number of books read per year is predicted to be 10 books.O The y-intercept has no practical meaning for this study.

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Answered: d. r2 -0.67 (Round to two decimal…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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2. Participants were kept awake for a certain number of hours before given a visuospatial task. Researchers measured how many correct responses each participant had. Results are shown below. Use alpha = .01. Number of Correct Hours Kept Awake (X) Responses (Y) 21 X = 10 SS, = 422 Y = 10 SS, = 690 2 4 19 %3D 6. 13 SPxy =-525 ху 5 20 S, =5.70 S, = 7.29 9. 11 10 9. 14 5 15 5 17 2 18 1 17 1 13 4 18 8 11 A. Graph the data. B. State the hypotheses. C. Make a decision about the null. a. Calculate Pearson's r i. Decision about null hypothesis? b. Calculate effect size i. Interpret effect size. D. State your conclusion. E. Relate your conclusion to the research. F. Calculate the regression formula. G. If someone was kept awake for 9 hours, what is the predicted number of correct responses?
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