A cat breeder is interested in what specific attributes people like most about cats. Specifically, they are interested to see whether the gender and color (black, white, orange, or other) have a significant impact on the popularity of the cat. The predictor variables are defined as follows:
?1={1 if female 0 if male,
?2={1if black 0 otherwise,
?3={1if white 0 otherwise,
?4={1if orange 0 otherwise
A regression model was fit and produced the following
results:
?̂=23.41 + 4.67?1 − 1.3?2 + 2.13?3
+ 6.87?4
a) What is the estimated popularity for an orange female
cat?
?̂= ________
b) What is the estimated popularity for a black male cat?
?̂= _______
c) Is a calico cat more popular as a female or male?
Female calico: ?̂= ______
Male calico: ?̂= ______
Which is more popular?
male OR female
The regression model is:
y = 23.41 + 4.67x1 − 1.3x2 + 2.13x3 + 6.87x4
x1={1 if female 0 if male,
x2={1 if black 0 otherwise,
x3={1 if white 0 otherwise,
x4={1 if orange 0 otherwise
a) For an orange female cat; x1 = 1, x2 = 0, x3 = 0, x4 = 1
y = 23.41 + 4.67*1 − 1.3*0 + 2.13*0 + 6.87*1
y = 34.95
b) For a black male cat, x1 = 0, x2 = 1, x3 = 0, x4 = 0
y = 23.41 + 4.67*0 − 1.3*1 + 2.13*0 + 6.87*0
y = 22.11
c) The effect of being a female increase the popularity by 4.67
units which is the coefficient of x1 (positive and magnitude being
4.67) for any cat
Hence, the female cat is more popular
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