4 multiple CHOICE questions thanks

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. 70 . E] Linear Fit v lIJnear Flt UfeSpan = 33.315133 - 1 .4798087'TotalSleep 7 Summary of Fit FISquua 0209293 Select the correct interpretation of the intercept of this regression line. 0 For a species with a 0 year life span, the predicted total sleep will be 33.82 hours 0 For a species that sleeps 0 hours a day, the predicted life span will be 1.48 years 0 Fora species that sleeps 0 hours a clay, the life span will be 33.82 years 0 For a species that sleeps 0 hours a day, the predicted life span will be 33.82 years 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. 70 . E) Linear Fit v lIJnear Flt LIfeSpan = 33.816188 - 1.4798057Wota18leep 7 Summary of Fit RSquua 0209293 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. 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. 0 For a 1 hour increase in the total sleep of a species, the life span will decrease by 1.48 years. 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. 70 . E) Linear Fit v lIJnaar Fit LIfeSpan = 33.816188 - 1 .47aaoarrrota131eep 7 Summary of Fit Raquua 0.209293 Select the correct interpretation of the R-squared value. 0 20.93% of the variation in a species total sleep can be explained by the linear regression with life span. 0 45.75% of the variation in a species life span can be explained by the linear regression with total sleep. 0 20.93% of the time, the species lifespan can be correctly predicted with the linear regression with total sleep. 0 20.93% of the variation in a species life span can be explained by the linear regression with total sleep. 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. 70 60 50 LifeSpan 40 30 20 10 10 15 20 TotalSleep - Linear Fit Linear Fit LifeSpan = 33.816188 - 1.4798087*TotalSleep Summary of Fit RSquare 0.209293 Predict the life span of a species that sleeps 8 hours a day. Round your final answer and all calculations (slope and intercept value) to 2 decimal places