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Deb currently has a product line of 10 specialty pizzas. The data above shows overall population data for each line of pizza weight in ounces, cost of a slice to make in dollars, calories per slice, and fat grams per slice.
Deb knows that many of her customers are weight conscious. She'd like to know if there a relationship between fat grams per slice and calories per slice. Is there?
What is the coefficient of correlation? Is it significant at .01? How do you know?
How much of the variation in calories can be explained by the number of fat grams per slice?
Build a predictive model for number of calories using fat grams. If a pizza has 15 grams of fat, how many calories should it have, using your model?
Can you think of any other correlations that might help Deb in her business planning? Are there any variables that seem to be missing?
Find the expected value of the number of tests taken.
Find the margin of error for the 95% confidence interval used to estimate the population proportion.
Calculate the mean number and median number of apples in a bag.
What is the degree of correlation between the dependent variable and the independent variable? Is the statistical significance of the model as a whole less than the desired statistical significance for the regression model? Explain the basis for yo..
The results of the simple linear regression are provided below.
Mr. Connors philosophy class has 99 students, classified by academic year and gender, as illustrated in the table below. Mr. Connor randomly chooses one student to collect yesterday's work. What is the probability that he selects a male, given tha..
A random sample of 5 parks is selected and the number of acres is shown at alpha= 0.05, find the critical value. 944, 1036, 790, 5842,566
Describe the difference in the fit provided by the two estimated regression equations.
It falls into the region of alternative is accepted greater than .95
Why can not we just do several two sample tests like we did in the last week. In your own words explain briefly also tell us what these are and what did it mean.
Suppose a small bicycle manufacturer makes cheap bikes that sell for 180$ each. The total cost of producing x bikes (in $) is given by c(x)=6000+240x-0.8x^2, where x is up to 200 bikes.
Whole Foods needs at least 1,000 units of beets. The Ames supplier can supply at least 400 units and the Zearing supplier can supply no more than 900 units. Develop constraints for these conditions.
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