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Use the least squares regression line from question 1. =70.509 + 0.293 * circumference One man had his waist circumference measured at 110 cm and his intra abdominal fat measured at 125 cm
(a). What is the predicted intra-abdominal fat for this man?
(b) What is the residual for this man?
(c) What does the slope of the regression line tell us about the explanatory and response variable?
A sample of 40 decaffeinated-coffee drinkers showed a mean of 5.84 cups per day, with a standard deviation of 1.36 cups per day. Use the .01 significance level. Compute the p-value.
The average U.S. family includes 3.13 persons. To determine whether families in her city tend to be smaller in size compared to those across the United States, a city council member selects a simple random sample of 25 families.
In determining automobile mileage ratings, it was found that the mpg in the city (x) for a certain model is normally distributed, with a mean of 24 mpg and a standard deviation of 1.0 mpg. Find the following:
Fit a linear regression model for bp against sodium. Do you think this is a model with a good fit? Why?
If a total of 5,450 packages are shipped for .$1,926, determine how many individual packages were shipped and how many groups of 15 were shipped.
The weights (in pounds) of a sample of five boxes being sent by UPS are: 12, 6, 7, 3, & 10.
Determine the maximum error of the estimate, E. Determine the confidence level used for the given confidence interval.
From these statistics she calculates a 90% confidence interval of [20.9 grams, 25.1 grams]. What can the researcher do to decrease the width of the confidence interval?
Find out the z values for 29 and 34 hours. What percent of the garages take between 32 hours and 34 hours to erect? What percent of the garages take between 29 hours and 34 hours to erect?
Suppose U is a Unit (25, 50) random variable.Find the CDF of U and sketch a graph.
You have 4 jars. In the largest jar you have three balls numbered 1 to 3. Then you have 3 colored jars. Jar 1 has a red ball and two orange balls.
the variance in drug weights is critical in the pharmaceutical industry. for a specific drug with weights measured in
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