A least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is weight = -5.66 +0.193 length. A newborn was 48 cm long and weighed 3 kg. According to the regression model, what was his residual? What does that say about him? What was his residual? kg (Round to three decimal places as needed.)

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.226 b=33.622 r²-0.4489 r=-0.67 Use this to predict the number of situps a person who watches 3 hours of TV can do (to one decimal place)

Does how long young children remain at the lunch table help predict how much they eat? Twenty toddlers were observed over several months at a nursery school. "Time" is the average number of minutes a child spent at the table when lunch was served. "Calories" is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day. A regression was run and the results were: = 114 + 2.4*x R² = 0.68 r = 0.822 Predict the number of calories a toddler consumes who remains at the table for 14.5 minutes (round your answer to two decimal places)

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.96 b=35.944 r2=0.736164 r=-0.858 Use this to predict the number of situps a person who watches 10.5 hours of TV can do (to one decimal place)

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.091 b=30.228 r2=0.698896 r=-0.836 Use this to predict the number of situps a person who watches 3.5 hours of TV can do (to one decimal place)

A regression was run to determine if there is a relationship between hours of TV watched per day (xx) and number of situps a person can do (yy).The results of the regression were:y=ax+b a=-1.364 b=32.282 r2=0.398161 r=-0.631 Use this to predict the number of situps a person who watches 4 hour(s) of TV can do, and please round your answer to a whole number.

A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were: y=ax+b a=-1.013 b=27.906 r2=0.498436 r=-0.706 Use this to predict the number of sit ups a person who watches 12 hours of TV can do, and please round your answer to a whole number.

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.371 b=36.465 ²0.395641 r=-0.629 Use this to predict the number of situps a person who watches 9 hours of TV can do (to one decimal place)

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were: y=ax+b a=-0.722 b=21.301 r2=0.381924 r=-0.618 Use this to predict the number of situps a person who watches 2 hours of TV can do (to one decimal place)

For a particular red wine, the auction selling price for a 750-milliliter bottle and the age of the wine (in years) was recorded and used to regress the Auction Selling Price (the y-variable) on the Age (the x-variable). The Excel regression analysis showed that the estimated regression equation was: y with hat on top equals 9.02 plus 6.95 x Use this estimated regression equation to predict the Auction Selling Price of a 750-milliliter bottle of this red wine that is 15 years old. Give the EXACT value. The predicted Auction Selling Price of a 750-milliliter bottle of this red wine that is 15 years old is $