Dаtа wаs cоllected оn nba team/seasоn since the start of 2010 season until the present including eFG% for and against (effective field goal percentage), turnovers (tov), steals (stl), and blocks (blk). In addition, an indicator was added to say whether (or not) that team made the playoffs. A logistic regression was run and the results are below: The Golden State Warriors were a borderline playoff team with a record of 48-34. Their per game stats were as follows:effective_fg_percentage_for = .536 effective_fg_percentage_against = .541 stl = 9.4 blk = 4.8 tov = 14 Using ALL variables (regardless of significance above), what is the predicted probability the Warriors made the playoffs using this model? Report your answer as a decimal to 3 places (i.e., 60.2% should be input as .602)
Run the fоllоwing lineаr regressiоn wаs run to predict Wins in the MLB from 2015-2024 (sаns 2020) based on the following statistics: OPS: On-base percentage + Slugging percentage WHIP: Walks + hits given up per inning pitched (You can copy this code directly into your R session--and should have done so prior to the quiz) teams %filter(yearID >= 2015, yearID !=2020) %>%mutate(OBP = (H + BB + HBP)/(AB + BB + HBP + SF),SLG = (H + X2B + 2 * X3B + 3 * HR)/AB,OPS = OBP + SLG,WHIP = (BBA + HA)/(IPouts/3)) lm(W ~ OPS + WHIP, teams) %>%summary() The standard deviations of OPS and WHIP are 0.037 and 0.096 respectively. If I could take an average team in OPS and WHIP to the 84th percentile (one standard deviation above or below average—since low WHIP is better) in one (and only one) of the two statistics, which would I prefer? (i.e., would I get more wins by increasing OPS by one standard deviation or decreasing WHIP by one standard deviation?)—Check Mathletics Ch. 18 (This isn’t as hard as you may think!) First, how many additional wins would I expect to get if I DECREASED my team WHIP by 1 standard deviation? Report your answer to 2 decimal places.