Show a simple linear regression analysis, Applied Statistics

In the early 1990s researchers at The Ohio State University studied consumer ratings of six fast-food restaurants: Borden Burger, Hardee's, Burger King, McDonald's, Wendy's, and White castle.  Each of 406 randomly selected individuals gave each restaurant a rating of 1, 2, 3, 4, 5, or 6 on taste, convenience, familiarity, price and preference.  In all cases, 1 was the best rating and 6 the worst rating. The mean ratings given by the 406 individuals are given below:

                             Mean     Mean     Mean     Mean     Mean

     Restaurant     Taste     Conv.    Famil.    Price      Pref.

     Borden Burger 3.5659  2.7005  2.5282  2.9372       4.2552

     Hardee's        3.3290  3.3483  2.7345  2.7513  4.0911

     Burger King    2.4231  2.7377  2.3368  3.0761  3.0052

     McDonald's    2.0895  1.9380  1.4619  2.4884  2.2429

     Wendy's         1.9661  2.8920  2.3376  4.0814  2.5351

     White Castle  3.8061  3.7242  2.6515  1.7080  4.7812      

Question

a) Perform a simple linear regression analysis of this data where 'mean preference' is the dependent variable and 'mean taste' is the independent variable.

b) Identify the least squares point estimates bo and b1.

c)  Identify SSE, and s.

d) Identify the t statistic for testing Ho: β1 = 0.

e) Identify the p-value for testing the independent variable.

f) Identify the 95% confidence interval for β1.

Posted Date: 3/8/2013 4:15:17 AM | Location : United States







Related Discussions:- Show a simple linear regression analysis, Assignment Help, Ask Question on Show a simple linear regression analysis, Get Answer, Expert's Help, Show a simple linear regression analysis Discussions

Write discussion on Show a simple linear regression analysis
Your posts are moderated
Related Questions
Analysis of variance allows us to test whether the differences among more than two sample means are significant or not. This technique overcomes the drawback of the method used in

Simple Random Sampling In Simple Random Sampling each possible sample has an equal chance of being selected. Further, each item in the entire population also has an equal chan

i am new to stata and i am trying to figure out how to calculate expected growth of sales tax revenue as well as average growth rate of sales tax revenue in stata. I have a dataset

QUESTION ONE. (a) The probability that, a bomber hits a target on a bombing mission is 0.70 Three bombers are sent to bomb a particular target. (i) What is the probability

According to a recent study, when shopping online for luxury goods, men spend a mean of $2,401, whereas women spend a mean of $1,527. Suppose that the study was based on a sample o

what the purpose we use it

Regression Coefficient While analysing regression in two related series, we calculate their regression coefficients also. There are two regression coefficients like two regress

Correlation The correlation is commonly used and a useful statistic used to describe the degree of the relationships between two or more variables. Pearson's correlation refle

Hi There, I have a question regarding R, and I am wondering if anyone can help me. Here is a code that I would like to understand: squareFunc g f(x)^2 } return(g) } sin

Chi-square analysis can be used with both Goodness-of-Fit Tests and with Tests for Independence. There are specific instances when each test should be used based on the information