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- 9) Multiple Choice (ONE answer) The number of students applying to a college increases as the number of scholarships provided by the college increases. Which statement is true for the given information? А. The statement implies correlation as well as causation. The statement implies correlation but not causation. C. The statement implies neither correlation nor causation. The statement implies causation but not correlation. B. D.Indicate which correlation coefficient represents a stronger relation between two variables A) -.85 B) +.65 C) 0.00 D) -.70A categorical variable with multiple categories is converted to sufficient indicator variables for inclusion in a model. Will those indicator variables be correlated to one another? CLearly explain
- There is a correlation between ice cream sales and crime rates. What can we conclude from this? A) Ice cream leads to more criminality B) Committing a crime makes an individual want ice cream C) Criminality is a sufficient, but not necessary, condition for ice cream sales D) There is likely a spurious relationship between ice cream sales and crime rateBaseball owners believe that the more runs scored, the higher the attendance. Is there evidence that more fans attend games if the teams score more runs? Data collected midway through the season indicate a correlation of 0.848 between runs scored and the number of people at games. a) Does the scatterplot indicate that it's appropriate to calculate a correlation? Explain. O A. Yes, because the relationship between number of runs scored and attendance appears to be straight. O B. Yes, because the association between the number of runs scored and attendance is positive. 37500- OC. No, because there are too many outliers for a numerical correlation to be appropriate. 30000- O D. No, because the number of runs scored and attendance are not quantitative variables. b) Describe the association between attendance and runs scored. 22500- 320 360 400 440 480 O A. The association between attendance and runs scored is negative, straight, and moderate. Runs O B. The association between attendance…Jim and Larry run a soup stand. The data below represents the sales of soup that they had on 8 randomly selected days, along with the high temperature on that day. a) Create a scatter diagram for this data set and comment on whether there is a positive or negative relationship between these variables.b) Calculate the correlation coefficient between temperature and sales.c) Does a linear relationship exist between these variables? Explain to me why or why not this is the case.d) Using excel, calculate the least squares regression equation for this data set. e) Using your equation, predict the soup sales on a day where the temperature is 29 degrees.f) Interpret the slope of this equation.g) Can we use this data set and regression equation to predict the sales on a day when the average temperature is 102 degrees? Why or why not?h) What is the R-squared for this equation? How do you interpret that R-squared?
- Correlation and causation are the same concept. O True FalseMultiple Comparisons Dependent Variable: RAPEMYTH Tukey HSD Mean Difference (- J) 95% Confidence Interval () MOST WOMEN FIND ME UNATTRACTIVE (J) MOST WOMEN FIND ME UNATTRACTIVE Agree somewhat Std. Error Sig. Lower Bound Upper Bound Agree strongly 2.69258 .56229 .000 1.2458 4.1393 Disagree somewhat 3.10941" .53686 .000 1.7281 4.4907 Disagree strongly 3.85225 .52543 .000 2.5003 5.2042 Agree somewhat Agree strongly -2.69258 .56229 .000 -4.1393 -1.2458 Disagree somewhat .41684 .32901 .584 -.4297 1.2634 Disagree strongly 1.15967" .31001 .001 .3620 1.9573 Disagree somewhat Agree strongly -3.10941 .53686 .000 -4.4907 -1.7281 Agree somewhat -.41684 .32901 .584 -1.2634 .4297 Disagree strongly .74283 .26107 .023 .0711 1.4146 Disagree strongly -3.85225 -1.15967 -74283 Agree strongly .52543 .000 -5.2042 -2.5003 Agree somewhat 31001 .001 -1.9573 -.3620 Disagree somewhat *. The mean difference is significant at the 0.05 level. .26107 .023 -1.4146 -.0711 RAPEMYTH Tukey HSD*. Subset for alpha = 0.05…Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…