It has long been reported that human body temperature follows a normal distribution with a mean of 98.6 degrees Fahrenheit. There is some debate in the medical field, however, about this long-held standard of human body temperature. Specifically, some medical researchers believe that the average human body temperature is actually greater than 98.6 degrees Fahrenheit. To test their theory, these researchers measured the body temperature of a random sample of 180 healthy individuals. The researchers then recorded the mean and standard deviation for the sample of 180 individuals. After the researchers collected their data, they entered the data into a statistical software package and ran the appropriate statistical test which resulted in a test statistic of 3.64 with a p-value of .018. The researchers would conclude that:

Find the slope of the line passing through a pair of points

Which number is located at point a on the number line? a number line is shown from negative 10 to 10 with each interval mark on the number line representing one unit. point a is labeled one interval mark to the right of negative 5.

1. the manager of collins import autos believes the number of cars sold in a day (q) depends on two factors: (1) the number of hours the dealership is open (h) and (2) the number of salespersons working that day (s). after collecting data for two months (53 days), the manager estimates the following log-linear model: q 4 equation 1 a. explain, how to transform the log-linear model into linear form that can be estimated using multiple regression analysis. the computer output for the multiple regression analysis is shown below: q4 table b. how do you interpret coefficients b and c? if the dealership increases the number of salespersons by 20%, what will be the percentage increase in daily sales? c. test the overall model for statistical significance at the 5% significance level. d. what percent of the total variation in daily auto sales is explained by this equation? what could you suggest to increase this percentage? e. test the intercept for statistical significance at the 5% level of significance. if h and s both equal 0, are sales expected to be 0? explain why or why not? f. test the estimated coefficient b for statistical significance. if the dealership decreases its hours of operation by 10%, what is the expected impact on daily sales?