Heights​ (cm) and weights​ (kg) are measured for 100 randomly selected adult​ males, and range from heights of 135 to 191 cm and weights of 37 to 150kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.79cm, y=81.51kg, r=0.293​, P-value=0.003​, and y=−106+1.17x. Find the best-predicted value of y (weight) given an adult male who is 147cm tall. Use a 0.10 significance level.

Heights​ (cm) and weights​ (kg) are measured for 100 randomly selected adult​ males, and range from heights of 135 to 188 cm and weights of 39 to 150 kg. Let the variable x be the height. The 100 paired measurements yield x=167.08 ​cm, y=81.32 ​kg, r=0.254​, and y=−109+1.07x. Find the best predicted value of y ​(weight) given an adult male who is 163 cm tall. Use a 0.05 significance level.     The best predicted value of y for an adult male who is 163 cm tall is   kg. ​(Round to two decimal places as​ needed.)

The sodium content of 30 packages of 300 grams of corn flakes of a certain brand was examined. The data in milligrams: the mean is 129.753 and s = 0.929: (a) Can the assertion that the sodium content of this brand of cereal is different from 130 mg be supported? Use = 0.5, find the p-value. b) Calculate the power of the test if the true average sodium is 130.5 mg. c) What sample size would be required to detect a true average sodium content of 130.1 if we want the power to be at least 0.75?   Note:The exercise in the image is in Spanish, which is the original, to make it easier to understand.

Heights​ (cm) and weights​ (kg) are measured for 100 randomly selected adult​ males, and range from heights of 138 to 194 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.95 ​cm, y=81.57 ​kg, r=0.362​, ​P-value=0.000​, and y=−103+1.07x. Find the best predicted value of y ​(weight) given an adult male who is 180 cm tall. Use a 0.01 significance level. The best predicted value of y for an adult male who is 180 cm tall is=  kg.

Heights​ (cm) and weights​ (kg) are measured for 100 randomly selected adult​ males, and range from heights of 139 to 189 cm and weights of 39 to 150 kg. Let the predictor variable x be the first variable given. The 100 paired measurements yield x=167.70 ​cm, y=81.43 ​kg, r=0.324​, ​P-value=0.001​, and y=−101+1.06x. Find the best predicted value of y ​(weight) given an adult male who is 151 cm tall. Use a 0.10 significance level.       Question content area bottom Part 1 The best predicted value of y for an adult male who is 151 cm tall is enter your response here kg. ​(Round to two decimal places as​ needed.)

High to centimeters and weight in kilograms are measured for 100 randomly selected adult males and range from the height of 131 to 189 cm and weights of 37 to 150 kg. let the predictor variable X be the first variable given. the 100 paired measurements yield X bar is equal to 167.31 cm, y bar is equal to 81.42 kg.  R is equal to 0.335. P value equal to 0.001 and predicted y = -103+1.08x. find the best predictive value of predicted why wait given an adult male who is 150 cm tall use a 0.01 significance level.

A magazine provided results from a poll of 1500 adults who were asked to identify their favorite pie. Among the 1500 respondents, 13% chose chocolate pie, and the margin of error was given as t4 percentage points. Describe what is meant by the statement that "the margin of error was given as ±4 percentage points." Choose the correct answer below. O A. The statement indicates that the interval 13% + 4% is likely to contain the true population percentage of people that prefer chocolate pie. O B. The statement indicates that the study is 100% - 4% = 96% confident that the true population percentage of people that prefer chocolate pie is 13%. C. The statement indicates that the study is only 4% confident that the true population percentage of people that prefer chocolate pie is exactly 13%. O D. The statement indicates that the true population percentage of people that prefer chocolate pie is in the interval 13% +4%.

Your local gas company is interested in estimating the average usage during the month of January. A random sample of 1280 households found the following results: X= 82 therms and s=28 therms. Conduct a test of hypothesis to determine if the average amount exceeds 80 therms. Use a=0.02.

The desired distance for Flextronchip customers is 0.4 mm between two adjacent pins. Any deviation from this value causes interference. The process of handling complaints costs the firm at approximately $30.00 per chip. The engineers of the firm expect the average customer will be likely to complain when the distance is off target by at least 0.0002 mm. At the factory, the adjustment can be made at a cost of $1.40, which includes the labor to make the adjustment and additional testing. Required: 1. What is the value of k, the cost coefficient, in the Taguchi quality loss function (QLF) based on the above data? 2. Based on a Taguchi quality loss function (QLF), what should the tolerance be before an adjustment is made at the factory? 3. Based on your answer to (requirement 2) above, what are the specification limits (upper and lower) for the production of the product in question? Complete this question by entering your answers in the tabs below. Required 2 Required 3 What is the value…