A claim is made that the proportion of kids who play sports is more than 33%. A sample of n=300 subjects is randomly selected, and data shows 39% play a sport. Assume an alpha of 0.03, and answer the following questions:H0: p [c1] 33% (enter correct sign(s))H1: p [c2] 33% (enter correct sign(s))The claim is [m1] (enter H0 or H1)The critical value on the left, if there is one = [cv1] (round to 3 decimals-if none, enter “na”)The critical value on the right, if there is one = [cv2] (round to 3 decimals-if none, enter “na”)The test statistic = [ts] (round to 3 decimals)The result of the hypothesis test of H0 is [result] (enter “reject H0” or “fail to reject H0”)Is the claim supported? [support] (enter yes or no)

A weight loss product claims that, after a week of using their product, a person’s weight will go down by more 5 pounds. To test this claim, 5 people are randomly selected who use the weight loss product for a week. Before and after weights are  shown in the table below. Use this data to answer the following questions and to test the claim. Assume alpha=0.01. Before 155 189 142 245 288 After 150 183 137 239 282 What is the mean of the difference in weight (d-bar)? [dbar] (round to 1 decimal)What is the standard deviation of the difference in weight (s-d)? [sd] (round to 2 decimals)What is the left critical value? [cvL] (round to 2 decimals – enter “na” if there is none)What is the right critical value? [cvR] (round to 2 decimals – enter “na” if there is none)What is the value of the test statistic? [ts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)Is the claim supported? [support] (enter “yes” or “no”)

Using the data shown in the table below, answer the following questions.What is the correlation between X1 and Y? [corX1Y] (round to 2 decimals)What is the correlation betwen X2 and Y? [corX2Y] (round to 2 decimals)What is the correlation betwen X1 and X2? [corX1X2] (round to 2 decimals)How much of the variation in Y is explained by a regression model that uses only X1 to predict Y? [r2X1] (round to 2 decimals)How much of the variation in Y is explained by a regression model that uses only X2 to predict Y? [r2X2] (round to 2 decimals)How much of the variation in Y is explained by a regression model that uses both X1 and X2 to predict Y (hint: R-squared)? [r2X1X2] (round to 2 decimals)How much of the variation in Y is explained by a regression model that uses both X1 and X2 to predict Y, taking into account the correlation between X1 and X2 (hint: Adjusted R-squared)? [adjr2X1X2] (round to 2 decimals)At what level is the multiple regression statistically significant (i.e.,Sig.F)? [sig] (round to 2 decimals)In the multiple regression model, what is the coefficient of X1 in the regression equation? [X1cof] (round to 2 decimals)In the multiple regression model, what is the coefficient of X2 in the regression equation? [X2cof] (round to 2 decimals)What is the intercept in multiple regression equation? [int] (round to 2 decimals)Given X1=95.5 and X2=105.5, what would be the predicted value of Y? [esty] (round to just 1 decimal) Y X1 X2 98.6 87.4 108.5 101.2 97.6 110.1 102.4 96.7 110.4 100.9 98.2 104.3 102.3 99.8 107.2 101.5 100.5 105.8 101.6 103.2 107.8 101.6 107.8 103.4 99.8 96.6 102.7 100.3 88.9 104.1 97.6 75.1 99.2 97.2 76.9 99.7 97.3 84.6 102.0 96.0 90.6 94.3 99.2 103.1 97.7 100.3 105.1 101.1 100.3 96.4 102.3 104.1 104.4 104.4 105.3 110.7 108.5 107.6 127.1 111.3

Which of these is true in this course? A.  I need a code to access all the quizzes B. I need a code to access some quizzes C. I need no code to access any of the quizzes D. All of the above

A weight loss product claims that, after a week of using their product, a person’s weight will go down by more 4 pounds. To test this claim, 5 people are randomly selected who use the weight loss product for a week. Before and after weights are  shown in the table below. Use this data to answer the following questions and to test the claim. Assume alpha=0.05. Before 155 189 142 245 288 After 150 183 137 239 282 What is the mean of the difference in weight (d-bar)? [dbar] (round to 1 decimal)What is the standard deviation of the difference in weight (s-d)? [sd] (round to 2 decimals)What is the left critical value? [cvL] (round to 2 decimals – enter “na” if there is none)What is the right critical value? [cvR] (round to 2 decimals – enter “na” if there is none)What is the value of the test statistic? [ts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)Is the claim supported? [support] (enter “yes” or “no”)

A large buyer of transportation services wants to compare the standard deviation in delivery lead times between standard UPS and Fedex shipments.90 UPS shipments are randomly selected, and an analysis indicates a standard deviation of 3.8 days.60 Fedex shipments are randomly selected, and an analysis indicates a standard deviation of 3.2 days.Using this information, answer the following questions and test the claim that the standard deviation in delivery lead times for UPS is greater than that of Fedex, assuming alpha=0.05.(Hint: make sure you designate the sample with the larger variance as sample1 and the other as sample2 in your calculations. We are also always only interested in the right F critical value)What is the value of the F critical value? [Fcv] (round to 2 decimals)What is the value of the F test statistic? [Fts] (round to 2 decimals)What is the result of the hypothesis test? [result] (enter “reject H0” or “fail to reject H0”)Is the hypothesis supported? [support] (enter “yes” or “no”)

Whether or not the professor sends out a reminder, it is the responsibility of the student to know the due dates of the tests, exams, quizzes, etc.  A.   True   B.    False

The Utah Division of Natural Resources is studying the black bear population in Utah. They tracked, tranquilized and collected data on 12 black bears, as shown in the table below. In order to make further data collection easier, they want to create a formula for estimating a bear’s weight based on just its Length and Sex (females are coded 1 and males 2), because they have found a way to take those measurements from a distance, without having to tranquilize the bear. In order to do that, they need you to analyze the data and answer the following questions.What is the correlation between Sex and Weight? [corsw] (round to 2 decimals)What is the correlation betwen Length and Weight? [corlw] (round to 2 decimals)What is the correlation betwen Chest and Weight? [corcw] (round to 2 decimals)How much of the variation in a bear’s weight is explained by a regression model that uses Length and Sex to estimate Weight? [mr2] (round to 2 decimals)At what level is the regression statistically significant (i.e.,Sig.F)? [sig] (round to 2 decimals)What is the coefficient of Sex in the regression equation? [ms] (round to 2 decimals)What is the coefficient of Length in the regression equation? [mt] (round to 2 decimals)What is the intercept in the regression equation? [int] (round to 2 decimals)If a female bear is observed, with a length of 69, what is its estimated weight, based on the regression model? [estw] (round to nearest whole number – no decimals)How much will the regression model typically be off (std error) in predicting the weight of a bear? [stderr] (round to 2 decimals) Chest Length Sex Weight 45 67.5 2 344 54 72.0 2 416 41 70.0 1 220 49 68.5 2 360 44 73.0 2 332 32 63.0 1 140 48 72.0 2 436 33 61.0 1 132 48 64.0 1 356 35 59.0 2 150 40 63.0 1 202 50 70.5 2 365

An independent variable (x) is used to predict a dependent variable (y). Answer the questions for each scenario based on the data in the table below. Each scenario shows the sample size (n), the correlation (r), the regression equation (y=mx+b), and an alpha value. Hint: Use Table A-6 or compare the critical value with the test statistic to determine whether or not the correlation is significant and the regression valid.For scenario 1   Is the correlation significant? [sig1] (answer “yes” or “no”)   Given x=2, what is the best prediction of the value of y? [y1] (round to 1 decimal)For scenario 2   Is the correlation significant? [sig2] (answer “yes” or “no”)   Given x=2, what is the best prediction of the value of y? [y2] (round to 1 decimal)For scenario 3   Is the correlation significant? [sig3] (answer “yes” or “no”)   Given x=4, what is the best prediction of the value of y? [y3] (round to 1 decimal)   n r y-bar regression alpha Scenario 1 12 0.50 9.3 y=3x+3 0.05 Scenario 2 10 0.70 6.5 y=2x+3 0.01 Scenario 3 40 0.50 8.7 y=2x+1 0.20

Answer the questions based on the following data table.What is the value of the correlation coefficient (r) between the variables? [r] (round to 2 decimals)How much of the variation between the variables is explained by the regression model? [r2] (round to 2 decimals)At what level is the regression statistically significant (Sig.F)? [sig] (round to 2 decimals)What is the slope (coefficient of x) of the linear regression equation? [m] (round to 2 decimals)What is the y-intercept of the linear regression equation? [int] (round to 2 decimals)If given an x value of 20, what would be the predicted value of y? [yfore] (round to 2 decimals) x y 24 54 26 62 27 70 30 84 28 61 32 92