In: Statistics and Probability
The regression line that gives the linear relationship between the number of seeds or pellets eaten and the amount of time to eat the food is predicted amount of time to eat the food = 42.8565 – 0.0554(number of seeds or pellets eaten). Suppose one day Parsnip eats 30 seeds. Based on the regression line, how long do you predict it will take Parsnip to eat these 30 seeds?
The least square regression equation is ,
where , y = dependent variable =The amount of time of eat the food
x = independent variable = Number of seeds or pellets eaten
a = intercept
b = slope
We get the least square regression equation as
we want to find when pellets eaten then predicted the amount of time of eat the food =
By using least square regression equation ,
.......(Answer)
The predicted the amount of time of eat the food = ..................(Answer)