One of these solutions is correct. Which is it? (You do NOT need to solve the problem.  Just check the options given for feasibility — satisfying the constraints — and optimization). I recommend you fill out all the constraints prior to solving this question

Below you will find a scatterplot and regression output to predict points from the TOI (time on ice) for a hockey player. If someone plays the equivalent of 10 complete games (10×60=600 minutes), how many points does this model predict they will have for the season? Report your final answer to 2 decimal places (don’t round to the nearest point)

What was the SUM of the SEEDS of your selected teams?

The Ohio State Baseball team is looking at a few promotions to enhance attendance.  Unfortunately, weather can keep people away regardless of the pull of a bobblehead.  Below, you can find the expected profit from various promotion/weather combos (remember, promotions cost money that can’t be recouped if the tickets aren’t sold).   Weather   Very Hot yet Sunny Comfortable Rainy No Promotion $15,000 $20,000 $10,000 Bobblehead giveaway $25,000 $35,000 $0 Dime-a-dog $30,000 $30,000 $1,000 Kid’s free $20,000 $25,000 $2,000 The maximax strategy is [maxmax] The maximin strategy is [maxmin]

Bryson DeChambeau won the U.S. Open by shooting par on the 18th hole.  This is a 448 yard par 4. We will assume the expected shots to hole out is 4.087 from the tee (this is the average over all rounds).  His shots are as follows: Blasts his drive 300 yards into some nasty rough on the left side.  He is about 180 yards out and his expected shots remaining from here is 3.82 Hits out of the tough spot, but the ball lands in the sand on the right side of the green (55 yards away from the hole).  His expected shots remaining from here is 3.0 Hits a brilliant sand save and ends up 4 feet from the hole.  His expected shots remaining from here is 1.13. Easily sinks the putt for par. What were the strokes gained from the shot out of the sand? Enter negative for strokes lost and positive for a gain.

The Ohio State Baseball team is looking at a few promotions to enhance attendance.  Unfortunately, weather can keep people away regardless of the pull of a bobblehead.  Below, you can find the expected profit from various promotion/weather combos (remember, promotions cost money that can’t be recouped if the tickets aren’t sold).   Weather   Very Hot yet Sunny Comfortable Rainy No Promotion $15,000 $20,000 $10,000 Bobblehead giveaway $25,000 $35,000 $0 Dime-a-dog $30,000 $30,000 $1,000 Kid’s free $20,000 $25,000 $2,000 What is the minimax regret strategy? Don’t rush this one.  Be clear in your work.

The Ohio State Baseball team is looking at a few promotions to enhance attendance.  Unfortunately, weather can keep people away regardless of the pull of a bobblehead.  Below, you can find the expected profit from various promotion/weather combos (remember, promotions cost money that can’t be recouped if the tickets aren’t sold).   Weather   Very Hot yet Sunny Comfortable Rainy No Promotion $15,000 $20,000 $10,000 Bobblehead giveaway $25,000 $35,000 $0 Dime-a-dog $30,000 $30,000 $1,000 Kid’s free $20,000 $25,000 $2,000 The weatherman says there is a 25% chance of being very hot and sunny, a 35% chance of being comfortable, and a 40% chance of rain. The best strategy based on expected value of profit is [best] with expected value of [value]  

Run the following linear regression was run to predict Wins in the MLB from 2015-2022 (minus 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) teams15_22 %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)) 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!) Next, 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.  

You have 1 ml of a drug and need to create a 1:20 dilution before administering this drug to your rat. How many mls of sterile saline should you use to create this dilution? 

What is the term for the extent of cancer spread assessed during diagnosis?