the number of ice bags sold that day as the response variable. The least squares regression (LSR) line for the data is Bags=-151.05 +2.65 Temp. On one of the observed days, the temperature was 82 °F and 68 bags of ice were sold. Determine the number of bags of ice predicted to be sold by the LSR line, Bags, when the temperature is \\(82\ \text (°F. J\\) Enter your answer as a whole number, rounding if necessary. Bags = Incorrect. Using the predicted value you just found, compute the residual at this temperature. residual w 1.11 Incorrect ice bags ice bags
the number of ice bags sold that day as the response variable. The least squares regression (LSR) line for the data is Bags=-151.05 +2.65 Temp. On one of the observed days, the temperature was 82 °F and 68 bags of ice were sold. Determine the number of bags of ice predicted to be sold by the LSR line, Bags, when the temperature is \\(82\ \text (°F. J\\) Enter your answer as a whole number, rounding if necessary. Bags = Incorrect. Using the predicted value you just found, compute the residual at this temperature. residual w 1.11 Incorrect ice bags ice bags
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature
x₁ = 1478,
(x) and pavement deflection (y). Summary quantities were n = 20, Σy; = 12.75, Σy² = 8.86, Σx,
Σ x = 143215.8, and Σxy. = 1083.67.
Yi
Find a 90.0% confidence interval on each of the following:
(a) Slope.
[i
(b) Intercept.
[i
i
i
(c) Mean deflection when temperature x = 75 °F.
[i
i
] (Round your answers to 5 decimal places.)
i
] (Round your answers to 3 decimal places.)
(d) Find a 90.0% prediction interval on pavement deflection when the temperature is 75 °F.
] (Round your answers to 3 decimal places.)
] (Round your answers to 3 decimal places.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F96b32fde-407b-49e4-a18f-1c1f9aa1a58e%2Ff62551a4-f4d6-4b26-915c-ad8e67d99cf1%2Fukl6a2e_processed.png&w=3840&q=75)
Transcribed Image Text:Regression methods were used to analyze the data from a study investigating the relationship between roadway surface temperature
x₁ = 1478,
(x) and pavement deflection (y). Summary quantities were n = 20, Σy; = 12.75, Σy² = 8.86, Σx,
Σ x = 143215.8, and Σxy. = 1083.67.
Yi
Find a 90.0% confidence interval on each of the following:
(a) Slope.
[i
(b) Intercept.
[i
i
i
(c) Mean deflection when temperature x = 75 °F.
[i
i
] (Round your answers to 5 decimal places.)
i
] (Round your answers to 3 decimal places.)
(d) Find a 90.0% prediction interval on pavement deflection when the temperature is 75 °F.
] (Round your answers to 3 decimal places.)
] (Round your answers to 3 decimal places.)
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