Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 1 97 269 2 95 275 3 86 273 4 99 261 5 64 285 6 118 260 7 87 274 8 88 280 Using games won as the explanatory variable ?x, compute the correlation coefficient

Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 1 97 269 2 95 275 3 86 273 4 99 261 5 64 285 6 118 260 7 87 274 8 88 280 Using games won as the explanatory variable ?x, compute the correlation coefficient

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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Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 1 75 275 2 103 274 3 108 273 4 100 288 5 96 281 6 109 287 7 84 270 8 97 287 Using games won as the explanatory variable x, do the following: (a) The correlation coefficient is r= (b) The equation of the least squares line is y^=
A grocery store manager did a study to look at the relationship between the amount of time (in minutes) customers spend in the store and the amount of money (in dollars) they spend. The results of the survey are shown below. Time 21 19 23 25 17 12 19 Money 106 80 87 96 80 39 92 a. Find the correlation coefficient: r = Round to 2 decimal places. b. The null and alternative hypotheses for correlation are: Họ: ? H1: ? v + O The p-value is: (Round to four decimal places) c. Use a level of significance of a = 0.05 to state the conclusion of the hypothesis test in the context of the study. O There is statistically insignificant evidence to conclude that a customer who spends more time at the store will spend more money than a customer who spends less time at the store. O There is statistically significant evidence to conclude that there is a correlation between the amount of time customers spend at the store and the amount of money that they spend at the store. Thus, the regression line is…
Use Spearman rho formula to determine if there is a correlation between the English and Math score of 10 students English 86 76 46 71 82 64 58 80 75 61 Math 66 80 40 60 65 56 58 77 67 81 Ho: Ha: Calculated Value: Tabulated Value: Decision: Conclusion:
*8. Calculate the coefficient of correlation between X and Y from the following data and calculate probable error. Assume 69 and 112 as the mean value for X and Y respectively. X : 78 89 99 60 59 79 68 61 Y : 125 137 156 112 107 136 123 108
What is the correlation coefficient from the given data below? (Round off your answer to 4 decimal places.) The following are test scores of 10 students in abstract reasoning (X) and arithmetic (Y). 100 95 79 89 90 100 88 78 85 74 80 90 80 70 55 40 50 88 50 72 Y
The following table gives the marks obtained by a student in ten tests during the year. Calculate the correlation coefficient. Test No. : 1 2 3 4 5 6 7 8 10 Marks in Accounts : 77 54 27 52 14 35 90 25 56 60 Marks in English : 35 58 60 40 50 40 35 56 34 42
The following table compares the completion percentage and interception percentage of 55 NFL quarterbacks. Completion Percentage 58 59 62 65 66 Interception Percentage 4.5 4 3 2.5 1.5 Copy Data Determine if r is statistically significant at the 0.01 level. Yes or No? the correlation coefficient is/ is not statistically significant.
A researcher wants to see if the fat content in burgers and their calories are related. Fat (g) Calories What is the correlation coefficient, r ? O210.954 11.055 O 0.922815 19 31 34 35 39 39 43 410 580 590 570 640 680 660 O 0.960633 DELL
Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 1 75 284 2 60 266 3 119 286 4 82 270 5 66 259 6 116 265 7 73 264 8 93 265 Using games won as the explanatory variable x, do the following: (a) The correlation coefficient is r= (b) The equation of the least squares line is ?̂=
Is the number of games won by a major league baseball team in a season related to the team batting average? The table below shows the number of games won and the batting average (in thousandths) of 8 teams. Team Games Won Batting Average 1 92 262 2 102 259 3 102 262 4 62 265 5 102 290 6 83 266 7 80 273 8 65 277 Using games won as the explanatory variable ?, do the following: (a) The correlation coefficient is ?= (b) The regression equation is ?̂ =
What is the relationship between the number of minutes per day a woman spends talking on the phone and the woman's weight? The time on the phone and weight for 8 women are shown in the table below. Time 82 24 64 52 82 12 77 89 Pounds 181 125 156 142 158 103 148 161 Find the correlation coefficient: r=r= Round to 2 decimal places. The null and alternative hypotheses for correlation are:H0:H0: ? μ ρ r == 0H1:H1: ? r ρ μ ≠≠ 0 The p-value is: (Round to four decimal places) Use a level of significance of α=0.05α=0.05 to state the conclusion of the hypothesis test in the context of the study. There is statistically insignificant evidence to conclude that there is a correlation between the time women spend on the phone and their weight. Thus, the use of the regression line is not appropriate. There is statistically insignificant evidence to conclude that a woman who spends more time on the phone will weigh more than a woman who spends less time on the phone. There…
Five students provided data regarding the number of hours they spent on studying (TimeStudy) and their GPA. The data are as follows. Answer the following questions. TimeStudy GPA Student 1 2.00 3.50 Student 2 4.00 3.70 Student 3 5.00 3.30 Student 4 3.00 2.60 Student 5 4.00 3.40 a) According to the SPSS table, what can you conclude regarding the correlation between TimeStudy and GPA? Report the conclusions in proper formats. b) By fitting a linear regression line to represent the relationship between TimeStudy and GPA, the regression line function is ??? = ?. ?? + ?. ?? × ?????????. See the figure Calculate (by hand) the SSresidual.