thank you

Biologists were interested in the relationship between the amount of sleep a species gets and their lifespan. Data was gathered on 61 different species. The response variable LifeSpan gives the species life span in years. The explanatory variable TotalSleep gives the species daily sleep in hours. Below is JMP output for a regression study. u I I l 5 10 15 20 TotalSIeep V |Linear Fit LifaSpan = 33.816188 - 1.4798087'TotalSleep RSquare 0.209293 Select the correct interpretation of the slope of this regression line. 0 For a 1 hour increase in the total sleep of a species, the life span will decrease by 33.82 years, on average. 0 For a 1 hour increase in the total sleep of a species, the life span will increase by 1.48 years, on average. 0 For a 1 hour increase in the total sleep of a species, the life span will decrease by 1.48 years, on average. 0 For a 1 hour increase in the life span of a species, the total sleep will decrease by 1.48 years, on average. Ema1hmuincteaseinjhptotalslepmfaqnpdes thpliqunanwiJLdpcteaspby148uears Below is output for PGA Tour players. The response variable is Score, and we are we have some other variables that might help us explain why golfers score differently. Correlations Score Distance Accuracy PuttPerHole Score 1.0000 -0.3886 -0.1778 0.5384 Distance -0.3886 1.0000 -0.4848 0.0502 Accuracy -0.1778 0.4848 1.0000 0.0662 PuttPerHole 0.5384 -0.0502 0.0662 1.0000 The correlations are estimated by Row-wise method. Scatterplot Matrix 72 71.5 71 - 70.5 Score 70 69.5 69 68.5 310 305 300 295 290 Distance 285 280 275 270 70 65 Accuracy 60 55 50 1.8 1.78 1.76- PuttPerHole 1.74 1.72 1.7 1.68 69 70 71 72 270 285 295 305 50 55 60 65 70 1.7 1.74 1.78 Which of the explanatory variables is most strongly related to Score? O Distance O Accuracy