10:56AAwww-awn.aleks.comO REGRESSION AND CORRELATIONPredictions from the least-squares regressio.OC OO DThe managers of an electric utility wish to examine the relationshipbetween temperature and electricity use in the utility's service regionduring the summer months. In particular, the managers wish to be ableto predict total electricity use for a day from the maximum temperaturethat day. The bivariate data below give the maximum temperature (indegrees Fahrenheit) and the electricity use (in thousands of kilowatthours) of electricity generated and sold for a random sample of sixteensummer days. A best-fitting line for the data, obtained from least-squares regression, is given by =53.28 + 3.07.x, in which x denotes themaximum temperature and y denotes the electricity use. This line isshown in the Figure 1 scatter plot.Temperature, x Electricity use, y(in degreesFahrenheit)(in thousands ofkilowatt hours)78.4295.472.5232.100-72.7276.894.5363.437594.8335.635081.6322.032583.2262.976.1292.889.5314.327592.4351.225084.9354.422571.1300.088.3320.998.6381.1Figure 180.8302.697.5306.2Send data to ExcelBased on this information, answer the following:1. Fill in the blank: For these data, values for electricity use that aregreater than the mean of the values for electricity use tend to bepaired with temperature values that aretemperature values.the mean of thegreater than2. According to the regression equation, for an increase of one degreeFahrenheit in temperature, there is a corresponding increase of howmany thousands of kilowatt hours in electricity use?3.073. From the regression equation, what is the predicted electricity use(in thousands of kilowatt hours) when the temperature is 89.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)349 5354. From the regression equation, what is the predicted electricity useCin thousands of kilowatt hours) when the temperature is 96.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)ExplanationCheckO 2021 McGraw-Hill Education. Al Rights Reserved. Terms of Use I Privacy Accessibility place.)4. From the regression equation, what is the predicted electricity use(in thousands of kilowatt hours) when the temperature is 96.5degrees Fahrenheit? (Round your answer to at least one decimalplace.)?

4. The regression equation is y^=53.28+3.07x.

4. From the regression equation, what is the predicted electricity use |(in thousands of kilowatt hours) when the temperature is 96.5 degrees Fahrenheit? (Round your answer to at least one decimal place.)

4. From the regression equation, what is the predicted electricity use |(in thousands of kilowatt hours) when the temperature is 96.5 degrees Fahrenheit? (Round your answer to at least one decimal place.)

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Q: Plot Jresp along with the concentrations of Benzene in blood, fat, non-fat and liver in a 24h window…

A: As per the question the objective is to implement this model in MATLAB, generate a plot showing the…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given relationship is y= -1.261x + 28.694 Here x is hours of TV watched per day and y is number of…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The following information has been provided: The regression equation is : y^=30.54-1.354x The…

Q: In Germany the rate of change of a population with respect to time (in years) is proportional to the…

Q: Emissions of sulfur dioxide by industry set off chemical changes in the atmosphere that result in…

A: Given Mean=5.43 Standard deviations=0.54

Q: Time (secs) 0 30 60 90 120 150 180 Speed (mi/secs) 0.00 0.03 0.08 0.16 0.27 0.42 0.65 9. The table…

A: Given Information table is as follows

Q: The manager of a concert venue wants to determine a model for the total number of tickets sold each…

A: Hi! Thank you for the question, As per the honor code, we are allowed to answer three sub-parts at a…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Given data isa=-1.002b=31.579r2=0.923521r=-0.961from given data regression equation…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: Use the regression equation to predict the energy expenditure for a house with 1250 square feet.…

A: When the regression equation is given by y=0.388x+1027.554Where x is the area of the the house and y…

Q: 6. 0160 He only Sewage is being pumped through a 12-foot long total of pipe at a constant rate. The…

A: The objective of this question is to find the volume of the sewage at 6:00pm given that the volume…

Q: The z-score for 820 h is -2.51; the z-score for 900 h is -1.51. Using the answers from Step 1, what…

A: The negative z-score indicates that the probability is less than mean. z-score for 820 h is 2.51…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

Q: The z-score for 960 h is -0.74. Using the answer from Step 1, what percent of these light bulbs will…

A: Let µ be the mean of the distribution and σ2 be the variance of the distribution. X : lifetime of…

Q: If the energy of radiation emitted by an excited hydrogen atom when it returns to its ground state…

A: Since electron makes a transition from second excited state, n=3 to ground state n=1 So number of…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: a=-0.624 b = 35.132 number of hours watch TV (x) =9

Q: The accompanying table shows the number of bacteria present in a certain culture over a 5 hour…

A: Here we want to find the regression equation and predict the value.

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: Line of best fit obtained is y=-0.797x+33.913 for a given value of hours tv watched, we want to…

Q: In 1991 it was estimated that there were about 100 breeding pairs of Northern Spotted Owls. It was…

A: Topic: population decline

Q: Total emissions of carbon dioxide from the burning of fossil fuels have been increasing at about 3%…

A: Given data Total increased emissions of carbon dioxide from the burning of fossil fuels = 3% per…

Q: he z-score for 810 h is -2.44; the z-score for 870 h is -1.78. Using the answers from Step 1, what…

A: Given that: z score for 810 h is -2.44 and for 870 h it is -1.78 The probabilities are found from…

Q: A regression was run to determine if there is a relationship between hours of TV watched per day (x)…

A: The given regression line is: y=-1.086x+21.604

Q: Predict the list price of a vehicle with city MPG 21.6 and the acceleration time to 60mph 8.4…

A: A regression model is given.

Q: During your trip to New York City (320 miles away), you drive at a constant rate of 60 mph. During…

Q: Suppose that the regression equation that estimates the value of a car (in dollars) based on its age…

A: Given: Predicted Value = 21375 - 1215 Age

Concept explainers

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

100%

10:56
AA
www-awn.aleks.com
O REGRESSION AND CORRELATION
Predictions from the least-squares regressio.
OC OO D
The managers of an electric utility wish to examine the relationship
between temperature and electricity use in the utility's service region
during the summer months. In particular, the managers wish to be able
to predict total electricity use for a day from the maximum temperature
that day. The bivariate data below give the maximum temperature (in
degrees Fahrenheit) and the electricity use (in thousands of kilowatt
hours) of electricity generated and sold for a random sample of sixteen
summer days. A best-fitting line for the data, obtained from least-
squares regression, is given by =53.28 + 3.07.x, in which x denotes the
maximum temperature and y denotes the electricity use. This line is
shown in the Figure 1 scatter plot.
Temperature, x Electricity use, y
(in degrees
Fahrenheit)
(in thousands of
kilowatt hours)
78.4
295.4
72.5
232.1
00-
72.7
276.8
94.5
363.4
375
94.8
335.6
350
81.6
322.0
325
83.2
262.9
76.1
292.8
89.5
314.3
275
92.4
351.2
250
84.9
354.4
225
71.1
300.0
88.3
320.9
98.6
381.1
Figure 1
80.8
302.6
97.5
306.2
Send data to Excel
Based on this information, answer the following:
1. Fill in the blank: For these data, values for electricity use that are
greater than the mean of the values for electricity use tend to be
paired with temperature values that are
temperature values.
the mean of the
greater than
2. According to the regression equation, for an increase of one degree
Fahrenheit in temperature, there is a corresponding increase of how
many thousands of kilowatt hours in electricity use?
3.07
3. From the regression equation, what is the predicted electricity use
(in thousands of kilowatt hours) when the temperature is 89.5
degrees Fahrenheit? (Round your answer to at least one decimal
place.)
349 535
4. From the regression equation, what is the predicted electricity use
Cin thousands of kilowatt hours) when the temperature is 96.5
degrees Fahrenheit? (Round your answer to at least one decimal
place.)
Explanation
Check
O 2021 McGraw-Hill Education. Al Rights Reserved. Terms of Use I Privacy Accessibility

place.)
4. From the regression equation, what is the predicted electricity use
(in thousands of kilowatt hours) when the temperature is 96.5
degrees Fahrenheit? (Round your answer to at least one decimal
place.)
?

Expert Solution

This question has been solved!

Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.

This is a popular solution!

SEE SOLUTION Check out a sample Q&A here

Step 1

VIEW

Step 2

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 2 steps

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Correlation, Regression, and Association$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.

Similar questions

You estimate a regression equation that estimates individuals’ yearly income as a function of age (measured in years), years of education, and their score on a standardized intelligence exam (IQ test). The estimated coefficients are: I = 26.3 + 4.21*Age + 7.21*Education + .23 * IQ Where I is income measured in thousands of dollars. Based on the regression results, how much more should an individual earn after attending graduate school for two years? Explain your reasoning.
Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. O An exponential model is appropriate because the residual plot does not show a clear pattern. O A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. In(Views) vs. Days O A power model is appropriate because the scatterplot of days and natural log of views is strong and linear. 10 9.5 An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear…
Use the regression equation to predict the suicide rate for a state with a divorce rate of 6.5. Y = -0.20 + 2.87x
Listed below are the numbers of cricket chirps in 1 minute and the corresponding temperatures in °F. Find the regression equation, letting chirps in 1 minute be the independent (x) variable. Find the best predicted temperature at a time when a cricket chirps 3000 times in 1 minute, using the regression equation. What is wrong with this predicted temperature? Chirps in 1 min Temperature ("F) 860 O 85.8 69.9 1110 765 864 1188 1171 1232 1167 82.9 67.6 70.4 84.5 89 93.9 The regression equation is y =+ (Ox. (Round the y-intercept to one decimal place as needed. Round the slope to four decimal places as needed.)
The final question in the example is If the percentage of 16- to 19-year-olds not in school and not graduates reaches 22.5% in a similar city, what is the predicted rate of violent crimes per 1000 residents? (Round your answer to two decimal places.) violent crimes per 1000 residents
2 A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.269 b=38.42 2-0.839056 r=-0.916 Use this to predict the number of situps a person who watches 5.5 hours of TV can do (to one decimal place) Question Help: Video Message instructor Submit Question Jump to Answer MacBook Air 80 888 F4 W S *3 # E D $ 4 C R F % 5 F5 V T () > 6 G Y B & 7 Ja F7 H U 2 00 8 N Dil FB 9 K M
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-0.799 b=23.923 p²=0.695556 r=-0.834 Use this to predict the number of situps a person who watches 1 hours of TV can do (to one decimal place)
11:35 AA www-awn.aleks.com O REGRESSION AND CORRELATION Predictions from the least-squares regression line Try again. Shasia v Try Again Your answer is incorrect. • Your answer to number 3 is incorrect. The managers of an electric utility wish to examine the relationship between temperature and electricity use in the utility's service region during the summer months. In particular, the managers wish to be able to predict total electricity use for a day from the maximum temperature that day. The bivariate data below give the maximum temperature (in degrees Fahrenheit) and the electricity use (in thousands of kilowatt hours) of electricity generated and sold for a random sample of sixteen summer days. A best-fitting line for the data, obtained from least- squares regression, is given by -53.28 + 3.07x, in which x denotes the maximum temperature and y denotes the electricity use. This line is shown in the Figure 1 scatter plot. Temperature, x Electricity use, y (in degrees Fahrenheit) (in…
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y).The results of the regression were:y=ax+b a=-0.926 b=22.103 r2=0.481636 r=-0.694 Use this to predict the number of situps a person who watches 7.5 hours of TV can do (to one decimal place)
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.003 b=29.085 r?=0.571536 r=-0.756 Use this to predict the number of situps a person who watches 6 hours of TV can do (to one decimal place)
Tire pressure monitoring systems (TPMS) warns the driver when the tire pressure of the vehicle is 28% below the target pressure. Suppose the target tire pressure of a certain car is 30 psi (a) at what psi will the TPMS trigger a warning for this car?
A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y%3ax+b a=-1.219 b=29.882 r2=0.727609 r=-0.853 Use this to predict the number of situps a person who watches 11 hours of TV can do (to one decimal place)