Question

Examine the Prediction output at the value x = 20: Prediction Settings Variable Setting Age Fit SE Fit 95% CI 1886.15 29.6862 (1823.78, 1948.52) (1668.90, 2103.39) 20 r when x-20 in the context of the problem. Interpret the 95% CI for o j. we are 95% confident that the sample mean shear strength is between 1823.78 and 1948.52 kN/mm when the propellant's age is 20 weeks. we are 95% confident that the true mean shear strength is between 1823.78 and 1948.52 kN/mm when the propellant's age is 20 weeks. we are 95% confident that the sarpple mean age is between 1823.78 and 1948.52 weeks when the shear strength is 20 kN/mm. we are 95% confident that the true mean age is between 1823.78 and 1948.52 weeks when the shear strength is 20 kN/mm o o when x-20 in the context of the problem. Interpret the 95% PI for a future o k. we are 95% confident that the shear strength will be between 1668.90 and 2103.39 kN/mm when a 20-wee old propellant is used. we are 95% confident that the true mean shear strength is between 1668.90 and 2103.39 kN/mm when a 2. week-old propellant is used. we are 95% confident that the age is between 1668.90 and 2103.39 weeks when the shear strength is 20 kN/mm. we are 95% confident that the true mean age is between 1668.90 and 2103.39 weeks when the shear strength is 20 kN/mm. o o 15. Consider the model given below. Which of the following statements is FALSE? O For each x, the variance of the y's is ơ2. O The ei's follow a normal distribution. O The mean of the y's is 0 O The relationship beriween py and x is linear 16. A regression line is fit to see if there is a linear relationship between hat size and IQ. The 95% CI for the slope is (-2.34, 15.25), and the diagnostic plots show no problems. Using a significance level of o.05, which of the follow statements is TRUE? O There is enough evidence for a positive linear relationship. O There is enough evidence for a negative linear relationship. O There is not enough evidence for a linear relationship. O There is evidence that hat size and 1Q are correlated. o We cannot conclude anything without a p-value.

Answer 1