StudentNameJackAnne7-11HarrySharonJohnJames13. The following data was collected by a teacher who gave a test. He wonders ifthere is a relationship between the hours students studied for a test and the score thatwas achieved.AdamBrandonBrettBradyCharlesDarrenDaveDawnDeniseEricEmilyFredFranJaneHoursStudied676,586,68,16,86,9d) How7,36,98,27,27,36,98,67,47,66,887,46,5Grade53%60%56%79%58%85%70%56%69%76%79%68%74%many.72%84%78%76%65%92%80%65%Test Score 9a) Create a scatter plot for the data and draw in the line of best fit.b) Find the equation of the line of best fit using your calculator.-20c) Using your regression equation, determine the score a student could expect toreceive if they had studied for 5.0 hours.hours would a student need to study so as to expect a score of 95%.e) Is your answer to d) above reasonable? Explain.Hours Spent Studyingf) Is there another variable that needs to be considered in this situation?* I+

Hey, since there are multiple subparts posted, we will answer first three questions. If you want any…

Answered: a) Create a scatter plot for the data…

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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Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y=−66.75x+57.0 and the r=−0.504. Report answer as a percentage accurate to one decimal place.
Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 74.51a + 28.98 and the r = - 0.339. What proportion of the variation in y can be explained by the variation in the values of x? r2 = Report answer as a percentage accurate to one decimal place.
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Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = - 97.06x + 49.41 and the r = - 0.77. What percentage of the variation in y can be explained by the variation in the values of x? % (Report exact answer, and do not enter the % sign)
For the relationship between Calories and Carbs, here is the equation of the line of best fit: Regression Equation: Calories = 2.36 + 4.432 Carbs What would you predict for the number of Calories if a cereal had 28 Carbs?
Find the regression equation, letting the first variable be the predictor (x) variable. Find the best predicted Nobel Laureate rate for a country that has 78.5Internet users per 100 people. How does it compare to the country's actual Nobel Laureate rate of 1.1 per 10 million people? Internet Users Per 100 Nobel Laureates80.3 5.679.6 24.277.3 8.644.6 0.183 6.138.3 0.190.1 25.189.1 7.680.1 8.983.3 12.753.2 1.976.6 12.756.8 3.379.5 1.591.5 11.493.7 25.465.1 3.157.8 1.967.9 1.794.3 31.785.3 31.387.7 1977.7 10.8
The arm span and foot length were both measured (in centimeters) for each of 20 students in a biology class. The computer output displays the regression analysis. Which of the following is the best interpretation of the coefficient of determination r2? About 37% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 65% of the variation in foot length is accounted for by the linear relationship formed with the arm span. About 63% of the variation in arm span is accounted for by the linear relationship formed with the foot length. About 63% of the variation in foot length is accounted for by the linear relationship formed with the arm span.
Part a: Make a scatter plot and determine which type of model best fits the data.Part b: Find the regression equation.Part c: Use the equation from Part b to determine y when x = 1.5.
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Using your favorite statistics software package, you generate a scatter plot with a regression equation and correlation coefficient. The regression equation is reported as y = – 65.95x + 49.28 and the r = - 0.993. What proportion of the variation in y can be explained by the variation in the values of x? r2 = Report answer as a percentage accurate to one decimal place.
For the given data below, Solve, a. Find the regression equation, y = b0 + b1x.b. If x = 170 orders, how many shipments are expected?
A. Develop an estimated regression equation that can be used to predict the price of the stock based on the number of shares of company's stocks sold and the volume of exchange. B. Interpret the coefficients of the estimated regression equation that you found in Part a. C. If in a given day, the number of shares of the company that were sold was 94,500 and the volume of exchange on the New York Stock Exchange was 16 million, what would you expect the price of the stock to be?

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a) Create a scatter plot for the data and draw in the line of best fit. b) Find the equation of the line of best fit using your calculator. c) Using your regression equation, determine the score a student could expect to receive if they had studied for 5.0 hours.