# Question

Consider the sample of 65 customer satisfaction ratings given in Table 12.11. Carry out a chi-square goodness-of-fit test of normality for the population of all customer satisfaction ratings. Recall that we previously calculated x-bar = 42.95 and s = 2.6424 for the 65 ratings.

## Answer to relevant Questions

Explain the purpose of a goodness-of-fit test. What is the least squares regression line, and what are the least squares point estimates? The Excel output of a simple linear regression analysis of the data set for this case (see Table 13.4 on page 476) is given in Figure 13.12. Recall that a labeled Excel regression output is on page 482. The following partial MINITAB regression output for the Fresh detergent data relates to predicting demand for future sales periods in which the price difference will be .10 (see New Obs 1) and .25 (see New Obs 2). a. Report ...Explain how we test H0: ρ = 0 versus Ha: ρ ≠ 0. What do we conclude if we reject H0: ρ = 0?Post your question

0