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The dataset body temp on the companion website gives age in years and body temperature in degrees Fahrenheit for 100 blood donors ranging in age from 17 to 84 years old. The regression equation is = 98.6 - 0.0138x.
a. In the regression relationship shown, which variable is the response variable (y) and which is the explanatory variable (x)?
b. What is the predicted body temperature for someone who is 50 years old?
c. One of the donors was 50 years old and had a body temperature of 97.6°. What is the residual for this person? Explain what the residual tells you about this person's body temperature in comparison to the average body temperature for someone his age.
the average selling price of blackberry smart phones purchased by a random sample of 35 customers in 2010 was 311.
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Lead-time demand is 600 pounds. The standard deviation of lead time demand is 52 pounds. Supposing the lead time demand is normally distributed and that an acceptable risk of stocking out is 4%:
1. the following data represent the monthly cell phone bill for a persons phone for six randomly selected months.35.34
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Fuji Importers' tubes are 4 percent defective, Kirkpatricks' 7 percent, and Parts, Inc. are 6.5 percent defective. (a) What is the overall percent defective?
Find the slope and intercept and write the estimated Regression equation. Find SSE, SST, and SSR. Also find the Coefficient of Determination and interpret it. Find the correlation coefficient.
The results include n1 = 32, n2 = 30, n3 = 28, n4 = 41, SSTR = 4,537, and MSE = 412. Are all four names approximately equally liked, on average? What is the approximate p-value?
is there a significant difference in the level of community service participation between college and high school
The probability that an airplane passenger misses his/her fight is only .05. A typical airplane has 100 seats. If all the tickets are sold: a) What is the probability that all the passengers make it to the flight?
At the .01 significance level, is there a difference in the mean amount purchased on an impulse at the two stores? Explain these results to a person who knows about the t test for a single sample but who is unfamiliar with the t test for independe..
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