perform analysis to find out if the type of an advertisement(Creditpromo) had an impact on the amount of dollars spent by credit holders.

(a) What is the population from which this sample was drawn?
(b) What is the purpose of Levene’s Test? – Explain why it is important that Levene’s Test is included in the output for this independent samples t-test

(c) What is the Null hypothesis for Levene’s Test?
(d) Do we accept or reject the null hypothesis for Levene’s Test? – Explain why.
(e) Which of the two t-tests labelled “Equal variances assumed” and “Equal variances not assumed” should we use? – Explain why.

(f) In order to apply the t-test, what assumption do we make about the distribution of the errors?
(g) What is the null hypothesis for the t-test?
(h) Do we accept or reject the null hypothesis for the t-test? – Explain why.

(i) Is it appropriate to use a one-tailed or two-tailed test here? – Explain why.
(j) What overall conclusion can we draw from this output? – include a reference to the minimum difference between the amount of dollars spent by credit holders who received a standard seasonal
ad and those who received a promotional ad. that you would expect to find in the population.
Analysts for a car sales company are aware that sales of cars depend on car prices, and would like to determine the relationship between list prices and sales more precisely. They collect data on
list prices (in thousands of monetary units) and sales (thousands of cars) for six weeks.

Produce a suitable graph to investigate the relationship between the two variables, and report your findings.

Perform an appropriate regression analysis in SPSS, to predict sales figures given the price, and write a detailed report of your findings. Your report should address (but not necessarily be
confined to) the following questions:

(a) What percentage of the variation in car sales is accounted for by your model?
(b) What is the equation of best fit, and how do you interpret the coefficients in your model?

(c) By how much, on average, can we expect sales to increase if the list price increases by 10 points?
(d) What assumptions are made about the distribution of the data. If you are able to test whether the assumptions appear to be true, report on your results.

(e) On average, what level of sales can we expect when the list price is 10 thousand (of monetary units)?
(f) In a “worst case scenario”, what is the lowest level of sales that we would expect when the price is 10 thousand (of monetary units)? (Use a confidence level of 95%.)