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Using the information below calculate the predicted value for Y for the given value of X. Y (Dependent Variable) = Cost of a car in thousands of dollars (i.e. Y = 1 means one-thousand dollars) X (Independent Variable) = Miles per Gallon in city traffic   yhat = 28.1 + 0.62*X   On average how many thousands of dollars would a car cost if it gets 15 Miles per Gallon in city traffic (round your answer to 4 decimal places)?

In One Sample Proportion test, it is important to convert the sample proportion to a z-score first. In this example, we selected a random sample of size 120 from a pool of university students and asked whether they use the university gym on a regular basis. Eighty replied yes. Assuming that the population proportion under the null hypothesis is 50%, what is the z-score (test statistics) for the sample proportion?

Using the information below calculate the predicted value for Y for the given value of X. Y (Dependent Variable) = Grade Point Average X (Independent Variable) = Average number of hours spent studying per week   yhat = 2 + 0.196*X   On average what would a person’s Grade Point Average be if they spend on average 8 hours studying per week (round your answer to 4 decimal places)?

Using the following information select the appropriate interpretation for the correlation coefficient: Variables being compared are age in years and annual salary. r = -0.15

Using the information below calculate the predicted value for Y for the given value of X. Y (Dependent Variable) = Cost of an annual pass to Disney in dollars X (Independent Variable) = number of black out dates for the Disney annual pass   yhat = 1350 – 10.25*X   On average what would be the cost of an annual pass to Disney if the average number of black out dates was 60 (round your answer to 4 decimal places)?

It is known that the population standard deviation of weight among females is 27. Assuming that we have a random sample of 150, what is the standard error of the average weight among women of a sample of this size?

To compare the treatment effects of two interventions, two independent samples of patient medical data were collected. The sample sizes are 23 and 21 respectively. Assuming that the two populations shared the same variance, the researchers decided to conduct a two independent samples test for the means. What would be the number of degrees of freedom for the obtained t statistic with these sample sizes?

Conduct a hypothesis test based on the following information using a significance level of 5%: Research Question: Is the proportion of males enjoy video sames less than the proportion of females how enjoy video games?   Group 1 = Males Group 2 = Females Test statistic = -2.13 Group 1 Sample size = 76 Group 2 Sample size = 64

Select the appropriate interpretation for the slope of the linear regression equation below. Y (Dependent Variable) = Cost of an annual pass to Disney in dollars X (Independent Variable) = Average number of people who visit each day in thousands of people   yhat = 2122.86 – 30*X

Using the information below calculate the predicted value for Y for the given value of X. Y (Dependent Variable) = Cost of an annual pass to Disney in dollars X (Independent Variable) = Average number of people who visit each day in thousands of people (i.e. X = 1 means one-thousand people)   yhat = 2122.86 – 30*X   On average what would be the cost of an annual pass to Disney if the average number of people who attend each day was 52 thousand (round your answer to 4 decimal places)?