Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years? Best Actress: 29; 29; 28; 64; 34; 35; 44; 29; 65; 23; 46; 54 Best Actor: 43; 39; 39; 43; 53; 46; 58; 52; 39; 56; 44; 35 Find the equation of the regression line. y(carety)=____ + ______x The best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years is _____ years old.
Equations and Inequations
Equations and inequalities describe the relationship between two mathematical expressions.
Linear Functions
A linear function can just be a constant, or it can be the constant multiplied with the variable like x or y. If the variables are of the form, x2, x1/2 or y2 it is not linear. The exponent over the variables should always be 1.
Find the regression equation, letting the first variable be the predictor (x) variable. Using the listed actress/actor ages in various years, find the best predicted age of the Best Actor winner given that the age of the Best Actress winner that year is 28 years. Is the result within 5 years of the actual Best Actor winner, whose age was 39 years?
Best Actress: 29; 29; 28; 64; 34; 35; 44; 29; 65; 23; 46; 54
Best Actor: 43; 39; 39; 43; 53; 46; 58; 52; 39; 56; 44; 35
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