A quality control team studies the relationship between years of experience (x) for individual design employees and ability to complete a complex project within a certain time frame (y), where Y = 1 if the project is successfully completed, and Y = 0 if not. We know: b0 = −1.68 and b1 = 0.12. a) Write the estimated logit function. b) Estimate the odds that a design employee with 10 years of experience completes the complex project. c) Find and interpret the estimated odds ratio for this model.

A researcher conducted a study of commitment to a romantic relationship and how much attention a person pays to attractive alternatives. In this​ study, participants were shown a set of slides of attractive individuals. At the start of the results​ section, the researcher​ notes, "The​ self-reports on the Attentiveness to Alternative Index and the time spent actually inspecting the attractive​ opposite-sex slides...were positively​ skewed, so logarithmic transformations of the data were​ performed." Explain what is being described here​ (and why it is being​ done) to a person who understands ordinary parametric statistics but has never heard of data transformations.Choose the correct answer below.A.The sampling distribution was not​ normal, so the logarithm was taken of each score to make the distribution more normal. This procedure was used because the distribution was very strongly skewed to the right. This procedure keeps the order of the scores the​ same, so hypothesis tests can be…

Hanny

The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Audrey’s car over several months. Audrey’s Gas Fill Up LogMiles Driven, x            313    320    341    320    294    348    302Cost to Fill up ($), y    24.80    24.96    25.83    25.17    22.44    27.51    23.93 Step 2 of 2 :   If Audrey needs to drive 319 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.

Would you include ros in a final model explaining CEO compensation in terms of firm performance?