Q: Provide the null and alternative hypotheses for this analysis. Ho: Ha: Q: Select all the outputs that apply to this analysis. -Xcrit = 21.92 -tcrit = 2.069 -tcalc = 2.201 -Xcalc = 23 -fcalc = 1.21 -tcrit = 2.201 -fcrit = 3.47 -tcalc = -4.51

8. You collect data on people's height and study the relationship between gender and height. A regression of the height on a binary variable (Female), which takes a value of one for females and zero otherwise, yields the following result: Height = 71.0- 4.84 x Female, R2 = 0.40, SER = 2.0 (0.3) (0.57) (a) What is the sample average male height? (b) What is the sample average female height? I (c) How to interpret the slope coefficient -4.84? (d) Is the error term in the regression more likely to be heteroskedastic or homoscedastic? Why? R English (United States) D'Focus Page 9 of 10 920 words 100%

An airport official wants to prove that the proportion of delayed flights for Airline A (denoted as p1) is less than the proportion of delayed flights for Airline B (denoted as p2). Random samples for both airlines after a storm showed that 51 out of 200 flights for Airline A were delayed, while 60 out of 200 of Airline B's flights were delayed. The test statistic for this problem is -1.00. The p-value for the test statistic for this problem is: p = 0.0228 p = 0.0668 p = 0.3413 p = 0.1587

The attached table gives the peak power load for a power plant and the daily high temperature for a random sample of 10 days.   (a) Test the hypothesis that the population correlation coefficient  between peak power load and high temperature is zero versus the alternative that it is positive. Use  = 0:05. (b) What is the minimum absolute value of the sample correlation coefficient that will make the model signicant at 5% level? (c) Find a 98% condence and prediction interval for high temperature of 95. (d) For what value of high temperature the condence interval will be shortest.