27)
Y = 784.92 + (9.19*48) = 1226.04
D option $1226.
28)
Correct option is b
An additional bedroom increases rent , on average by $226.
29) the standard error of the estimate is the square root of the average squared deviation.
Correct option is c 269.63
31) a option .at least one of the explanatory variable is significantly related to response variable.
32) 3781/470 = 8.04
Correct option is a. 8.04
33) as p value 0.009 is less than 0.10 so we reject null hypothesis.
Correct option is d.
Reject null hypothesis and conclude that influence of x1 and X2 on y is significant.
QUESTION 27 Q27. A manager at a local bank analyzed the relationship between monthly salary (y,...
A manager at a local bank analyzed the relationship between monthly salary (y, in $) and length of service (x, measured in months) for 30 employees. She estimates the model: Salary = β0 + β1 Service + ε. The following ANOVA table summarizes a portion of the regression results. df SS MS F Regression 1 555,420 555,420 7.64 Residual 27 1,962,873 72,699 Total 28 2,518,293 Coefficients Standard Error t-stat p-value Intercept 784.92 322.25 2.44 0.02 Service 9.19 3.20 2.87 0.01...
4a A real estate analyst believes that the three main factors that influence an apartment’s rent in a college town are the number of bedrooms, the number of bathrooms, and the apartment’s square footage. For 40 apartments, she collects data on the rent (y, in $), the number of bedrooms (x1), the number of bathrooms (x2), and its square footage (x3). She estimates the following model as Rent = β0 + β1Bedroom + β2Bath + β3Sqft + ε. The following...
Akiko Hamaguchi is a manager at a small sushi restaurant in Phoenix, Arizona, Akiko is concerned that the weak economic environment has hampered foot traffic in her area, thus causing a dramatic decline in sales. In order to offset the decline in sales, she has pursued a strong advertising campaign. She believes advertising expenditures have a positive influence on sales. To support her claim, Akiko estimates the following linear regression model: Sales = Bo + B1 Unemployment + B2Advertising +...
19. A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51), he collects data on the poverty rate (y, in %), the percent of the population with at least a high school education (x1), median income (x2, in $1000s), and the mortality rate per 1,000 residents (x3). He estimates the following model as y = β0 + β1Education + β2Income + β3Mortality + ε. The...
The accompanying data resulted from a study of the relationship between y = brightness of finished paper and the independent variables x1 = hydrogen peroxide (% by weight), x2 = sodium hydroxide (% by weight), x3 = silicate % by weight), and X4 = process temperature. y 0.1 0.3 2.5 160 82.9 0.2 0.2 1.5 145 83.9 0.4 0.2 1.5 145 84.9 0.5 0.3 2.5 160 85.5 0.3 0.1 2.5 160 85.2 0.2 0.4 1.5 145 83.4 0.4 | 0.4...
Al Greens is a franchise store that sells house plants and lawn and garden supplies. Although Al Greens is a franchise, each store is owned and managed by private individuals. Some friends have asked you to go into business with them to open a new All Greens store in the suburbs of San Diego. The national franchise headquarters sent you the following information at your request. These data are about 27 Al Greens stores in California. Each of the 27...