1 / 9

Section 14.1

Compute the standard error, the point estimate for σ , for temperature ( x ) and number of ice cream cones sold per hour ( y ). 1.33 1.78 1.18 3.53. Section 14.1. Determine if the residuals are normally distributed. Normal Not normal. Section 14.1.

veronicamiller
Download Presentation

Section 14.1

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Compute the standard error, the point estimate for σ, for temperature (x) and number of ice cream cones sold per hour (y). • 1.33 • 1.78 • 1.18 • 3.53 Section 14.1

  2. Determine if the residuals are normally distributed. • Normal • Not normal Section 14.1

  3. Assuming that the residuals are normally distributed, determine • se = 1.33, x = 85 • 38.728 • 5.5328 • 0.0343 • 0.0156 Section 14.1

  4. Assuming that the residuals are normally distributed, find the t test statistic used to test H0: β1 = 0 versus H1: β1 ≠ 0. • b1 = 0.383, se = 1.33, • 3.473 • 11.166 • 38.776 • 0.288 Section 14.1

  5. Compute a 95% confidence interval about the slope of the true regression line.b1 = 0.383, se = 1.33, • (0.318, 0.448) • (0.305, 0.461) • (0.304, 0.462) • (0.302, 0.464) Section 14.2

  6. Construct a 95% confidence interval about the mean number of ice cream cones sold when the temperature is 100°. se = 1.33, x = 85, • (19.0, 22.2) • (19.3, 21.9) • (19.5, 21.7) • (17.1, 24.1) Section 14.2

  7. What is the relationship between the width of a 95% prediction interval and the width of a 95% confidence interval? • The prediction interval is always narrower than the confidence interval. • The prediction interval is always wider than the confidence interval. • They are the same width. • There is not a consistent relationship between the width of a prediction interval and the width of a confidence interval. Section 14.2

  8. The price of a used Toyota Camry, can be modeled by the equation where x1 is the age of the car (in years) and x2 is the mileage (in thousands). Predict the y-value for x1 = 6 and x2 = 54. • $17,612 • $15,982 • $18,526 • $22,174 Section 14.3

More Related