1. The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambienttemperature (in degF) for that month. The past year's usage and temperature are shown in the following table:Month Temp. Usage/1000Month Temp. Usage/1000Jan.21185.79July68621.55Feb.24214.47Aug.74675.06Mar.32288.03Sept.62562.03Apr.47424.84Oct.50452.93May50454.58Nov.41369.95June59539.03Dec.30273.98(a) Assuming that a simple linear regression model is appropriate, fit the regression model relating steam usage (y) to the averagetemperature (x).(b) What is the estimate of expected steam usage when the average temperature is 55F?

Answered: Image /qna-images/answer/62e8d2a2-f549-4c44-9978-85f2f5bf3b68.jpg

Answered: 1. The number of pounds of steam used…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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7. Make a bar graph presentation of the monthly rainfall over a period of one year, when given: MONTH RAINFALL (mm/mo) MONTH RAINFALL (mm/mo) JAN 5.8 JULY 395.2 FEB 2.3 AUG 517.5 MAR 4.3 SEPT 395.6 APR 13.3 ОСТ 152.2 MAY 186.9 NOV 35.0 JUNE 281.3 DEC 3.3 Discuss and describe the result.
It has been determined that there is a significant relationship between the temperature (x) and the number of times that a cricket chirps in a minute (y). Below is a table of values: Number of Temperature chirps 69.7 882 93.3 1188 84.3 1104 76.3 864 88.6 1200 82.6 1032 71.6 960 79.6 900
a. Account name b. Months in the calendar c. Average monthly savings d. Number of bank accounts e. None of the choices Based on the following choices/variables above, determine the ff: • measured in interval scale? • measured in ordinal scale? • quantitative discrete data? • quantitative continuous data?
We have measurements from eight companies for the % workforce change in 2010 from 2009 and the % change in profits from 2010 to 2011. % workforce change (x): 1.0 % profit change (y): 1.5 -0.4 -2.6 -3.8 -5.8 -2.5 -0.1 0.4 0.4 0.1 -0.2 -0.5 -7.5 0.2 0.3 We can calculate: Er = -12.7, Ex² = 64.51, Συ--6.8 , Σ 57, Σεy- 46.35. Find the sample correlation between the two variables, and fit a simple linear model to the dataset. Also, plot the residuals, ri, against xi, and comment on the fit of the model.
The number of pounds of steam used per month by a chemical plant is thought to be related to the average ambient temperature (in F) for that month. The past year's usage and temperatures are in the following table: Usage/ Month Temp. 1000 Month 21 185.79 July. 24 214.47 Aug. 32 288.03 Sept. 47 424.84 Oct. 50 454.58 Nov. 59 539.03 Dec. Jan. Feb. Mar. Apr. May June Temp. 68 74 62 50 41 30 Identify which are the independent and dependent variables. Usage/ 1000 621.55 675.06 562.03 452.93 369.95 273.98
Q1. A study was conducted to investigate the relationship between premature birth and mental development at 12 months. The infant's birth weight was used as an index of prematurity. At age 12 months, the child's mental development was recorded. The results are shown below (the weights are in pounds): Birth 4 6 7 8 Weight(x) Developmental 85 Quotients(y) 88 87 94 96 Summary: n = 5, £x=30, £x² = 190, Ey= 450, Ey² = 40590, Exy = 2728 . a. Find the least square prediction equation, y on x. b. Obtain a 95% confidence interval for the average value of y when x 6.5 (i.e., a C.I. for E(y|x= 6.5)). c. Obtain the coefficient of correlation (r) and interpret the result. d. Test the hypothesis that H, :p= 0 vs. H, : p0. Use a =0.05.
Suppose a study of speeding violations and drivers who use cell phones produced the following fictional data: Speeding violation in thelast year No speeding violation in the last year Total Uses cell phone while driving 25 280 305 Does not use cell phone while driving 45 405 450 Total 70 685 755 Calculate P(Driver had no violation in the last year AND was a cell phone user). Round your answer to four decimal places.

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