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(1)A sports enthusiast created an equation to predict Victories (the team’s number of victories in the National Basketball Association regular season play) using predictors FGP (team field goal percentage), FTP (team free throw percentage), Points = (team average points per game), Fouls (team average number of fouls per game), TrnOvr (team average number of turnovers per game), and Rbnds (team average number of rebounds per game). The fitted regression was Victories=−281 + 523 FGP + 3.12 FTP + 0.781 Points − 2.90 Fouls + 1.60 TrnOvr + 0.649 Rbnds (R2 = .802, F = 10.80, SE = 6.87). The strongest predictors were FGP (t = 4.35) and Fouls (t=−2.146). The other predictors were only marginally significant and FTP and Rbnds were not significant. The matrix of correlations is shown below. At the time of this analysis, there were 23 NBA teams. (a) Do the regression coefficients make sense? (b) Is the intercept meaningful? Explain. (c) Is the sample size a problem (using Evans’s Rule or Doane’s Rule)? (c) Why might collinearity account for the lack of significance of some predictors? (Data are from a research project by MBA student Michael S. Malloy.)” (Doane & Seward, 2007, p 600).
(2)Plot the voter participation rate. (b) Describe the trend (if any) and discuss possible causes. (c) Fit both a linear and an exponential trend to the data. (d) Which model is preferred? Why? (e) Make a forecast for 2004, using a trend model of your choice (or a judgment forecast). (f) Check the Web for the actual 2004 voter participation rate. How close was your forecast? Note: Time is in 4-year increments, so use t = 19 for the 2004 forecast.” (Doane & Seward, 2007, p 642).
Conduct the hypothesis test and provide the test statistic, critical value and/or P- value and state the conclusion.
You have administered a standardized test of manual dexterity to two groups of 10 semi skilled workers. One of these two groups of workers will be employed by you to work in a warehouse with many fragile items.
What is the probability that at least 8 of the next 15 errors are due to operator errors? What is the probability that no more than 3/10 failures are due to operators?
Captopril is a drug designed to lower systolic blood pressure. When subjects were tested with this drug, their systolic blood pressure readings (in mm of mercury) were measured before and after the drug were taken, with the results given in the ta..
A brief narrative discussion explaining the logi stic model, how you perform the analysis and come up with the final decisions and recommendations. Justifications to yourrecommendations are also welcome.
Suppose the download times for a commercial tax preparation site are normally distributed with a mean download time of 2.0 seconds and a standard deviation of 0.5 second.
Assume gasoline prices for a region are normally distributed. do the data you obtain provide enough evidence to reject the claim? use 1% level of significance.
During recent seasons, Major League Baseball has been criticized for the length of the games. A report indicated that the average game lasts 3 hours and 30 minutes.
A survey covering 0 different suburbs in Dallas found the average price of gasoline to be $3.924 per gallon with a population standard deviation of $0.053. What critical value shoiuld be used to test the claim using a = 0.01?
Consider a newly arriving customer to the checkout line. What is the probablility that this customer will not have to wait behind anyone?
An auto manufacturer advertises that "90% of the cars we've ever made are still on the road." Assuming this is literally true, how can it be explained? What facts/statistics would you need to know to expose this misleading claim?
The random variable x is known to be uniformly distributed between 70 and 90. The probability of x having a value between 80 to 95 is
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