Input the slope and intercept in this regression prediction equation: y = slope xi+ intercept What is the interpretation for the slope (b)? For every one more someone owns, there is an increase or decrease as of (number) in stress What is the interpretation for the y-intercept (a). If someone owns pets, we predict they will have stress of (number) If someone has two pets (X = 2), what would you predict their stress to be? If someone has 9 pets (x=9) m, what would you predict their stress to be? Why might calculating this be a problem? Type either outliers, restriction, heteroscedaticity, extrapolation, or non-linear effects

Cr A researcher is interested if the number of pets people own (the x-variable) is related to their stress on a scale of 0-60 (the y-variable). Note: Please enter all values as numbers (1, 2, 3), not words (one, two). Please include three places after the decimal point in all your work and answers (where relevant), to avoid rounding error. A data table for X and Y variables X = pets y = stress s Person 1 'l 50 Person 2 0 40 Person 3 3 30 Person 4 3 60 Person 5 4 40 e The mean for pets (x): X = 2.2 What is the mean for stress (y): 7 = The standard deviation for stress (y): Sy = 11.402 Covariance