A business statistics student decides to predict gasoline prices in different ci

Question

A business statistics student decides to predict gasoline prices in
different cities and towns in the United States for the term project. The
dependent variable is price of gasoline per gallon and the explanatory
variables are per capita income, the number of firms that manufacture
automobile parts in and around the city, the number of new business starts
in the last year, population density of the city, percentage of local taxes
on gasoline, and the number of people using public transportation. Data of
32 cities was collected and a regression sum of squares SSR = 122.8821 was
obtained. The computed value of standard error of the estimate is 1.9549.

what is the value of the coefficient of
multiple determination?
a. 0.2225
b. 0.4576
c. 0.5626
d. 0.6472
what is the value of adjusted r2?
a. 0.4576
b. 0.5626
c. 0.6472
d. 95.5414

Explanation / Answer

d c

Related Questions

Navigate

• Browse (All)
• Browse A
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.