Which score has a higher relative position, a score of 70.2 on a test for which X = 60 and s = 6, or a score of 276 on a test for which X = 240 and s = 24? Both scores have the same relative position O A score of 70.2 A score of 276
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- Find the equation of the regression line for the following data set. x 1 2 3 y 0 3 4The attached data contains Part Quality data of three suppliers. At = 0.05, does Part Quality depend on Supplier, or should the cheapest Supplier be chosen?A major credit card company is interested in whether there is a linear relationship between its internal rating of a customer’s credit risk and that of an independent rating agency. The company collected a random sample of 200 customers and used the data to test the claim that there is a linear relationship. The following hypotheses were used to test the claim. H0:β1=0Ha:β1≠0 The test yielded a t-value of 3.34 with a corresponding p-value of 0.001. Which of the following is the correct interpretation of the p-value? If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. If the alternative hypothesis is true, the probability of observing a test statistic at least as extreme as 3.34 is 0.001. A If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater is 0.001. If the alternative hypothesis is true, the probability of observing a test statistic of 3.34 or greater…
- The following data on price ($) and the overall score for 6 stereo headphones that were tested by Consumer Reports were as follows. Brand Price ($) Score Bose 192 78 Scullcandy 156 72 Koss 96 66 Phillips/O'Neill 84 60 Denon 78 42 JVC 36 24 a. Does the t test indicate a significant relationship between price and the overall score? The test t-Conclusion at = .05 t = (to 2 decimal places.) p-value is What is your conclusion? Use ax= .05. . b. Test for a significant relationship using the F test.p-value is What is your conclusion? Use ax= .05. Because p-value is .05, we H 0: β 1 is . c. Show the ANOVA table for these data. Round your answers to three decimal places, if necessary. Source ofVariation Sum ofSquares Degrees ofFreedom Mean Square F p-value Regression Error TotalA researcher predicts that people with higher levels of racism (measured on a scale of 1 to 8, with higher numbers meaning more racism) will offer a smaller starting salary to a potential employee who is a racial minority. Given r = –.62, MX = 5.26, SX = 2.33, MY = 350.23, and SY = 25.03, which of these best characterizes the relationship between racism and salary offers? a. A one-point increase in racism is associated with a 0.06-dollar decrease in starting salary offers. b. A one-point increase in racism is associated with a 6.66-dollar decrease in starting salary offers. c. A practically significant predictive relationship does not exist between these variables d. A one-point increase in racism is associated with a 2.33-dollar decrease in starting salary offersThe table below contains the height in centimeters for10 sets of adult women twins. Calculate the correlationcoefficient (r) between the heights of the sisters for thetwin pairs.
- the number of rubber bands used and the distance, incentimeters, of her jump. When they created a scatterplotthe relationship appeared to be linear, and the correlationwas r = 0.996. After discussing these results, the teacherinstructed the students to convert the distances to inches.What effect will this have on the correlation between thetwo variables?a) Because 1 cm = 0.393701 inches, the correlationwill become .392126.b) Because 1 cm = 0.393701 inches, the correlationwill become 2.5298.c) Because only the length measurements have changed,the correlation will decrease substantially.d) Because changing from centimeters to inches doesnot affect the value of the correlation, the correlationwill remain 0.996. e) Because inches is a much more common measure-ment for distance in the United States, the relation-ship between the data will be stronger and thus the correlation will increase.For the following setting, (a) describe the parameter of interest, and (b) state the appropriate hypotheses for a significance test. According to the website sleepdeprivation.com, 85% of teens are getting less than eight hours of sleep a night. Jannie wonders whether this result holds in her large high school. She asks an SRS of 100 students at the school how much sleep they get on a typical night. In all, 75 of the responders said less than 8 hours.I need on answer on why you would expect these pairs of observations to be dependent?
- This year, several students complained that students in one section received much higher marks than those in the other sections of the same course. The department chair recorded student grades across the sections in an effort to determine if there was a relationship between grades achieved and instructor. Can the chair infer that the grade achieved was independent of the instructor for each class at a 5% level of significance? Instructor PA ML OK ST total Grade Achieved A 8 14 9 4 35 B 13 8 11 10 42 C 10 4 6 12 32 D 6 5 5 10 26 F 3 3 5 4 15 Total 40 34 36 40 150 Please provide calculation step by step to give me understanding in excel. thank you in advanceWhich of the following eta-squared results would indicate a very weak relationship between the dependent and independent variables? .15 .35 65 .95If the data is weight, the z-score for someone who is overweight would be what?? if the data is time spent watching TV, an individual with a z-score of zero would do what?? if the data is an annual salary in the US, and the population is all legally employed people in the US, the z-Score of people who make minimum wage would be what??