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A regression equation was computed to be Y= = 35 + 6X. The value of the 35 indicates that:
a.the regression line crosses the Y-axis at 35.
b.the coefficient of correlation is 35.
c.the coefficient of determination is 35.
d.an increase of one unit in X will result in an increase of 35 in Y.
The average height of american woman is distributed normally, with a mean of 63.5 inches and a standard deviation 2.5 inches. Approximately what percentage of american women are taller than 58.5 inches,
Suppose the likelihood that any flight on Northwest Airlines arrives within 15 minutes of scheduled time is .90. We choose four flights from yesterday for study.
You are dealt 2 cards successively without replacement from a shuffled deck of 52 cards. Find the probability that the first card is a king and the second card is a queen.
Given that SAT test scores are normally distributed with a mean of 1000 and a standard deviation of 200, what is the lowest possible score a student needs to qualify for acceptance into the university?
Finding an X score. All Bright University will consider an applicant for its MBA program who scores 95 percent or higher on the GMAT exam. The mean and standard deviation, respectively, for this test are 578 and 94. What is the lowest score (X) th..
What is the probability of selecting a store at random and finding it has both a pharmacy and a floral shop?
A statewide real estate company specializes in selling farm property in the state of Nebraska. Their records indicate that the mean selling time of farm property is 90 days.
For each of the 50 states and Washington, D.C., a number of statistics related to education are available for 1992
A high school counselor is interested in the percentage of students who will be going to college. She randomly picks 60 students and finds that 53 will be going to college. Use a 95% confidence level to find the population proportion.
A random sample of 41 basketball players from The Official NBA Basketball Encyclopedia gave the sample standard deviation for player height as s=3.32 inches.
Suppose the probability of the worst-case scenario increases Compute the expected value of perfect information
Supposes that the diameter of bearings are independent normally distributed random variables with mean µB = 1.005cm and variance σ²B = (0.003)² cm² . The diameter of shafts are independent normally distributed random variables having mean µB = 0.9..
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