The table lists fossil fuel production as a percentage of total energy production for selected years. A linear regression model for this data is(A) Draw a scatter plot of the data and a graph of the model on the same axes.y = - 0.33x + 95.0O A.О В.where x represents years after 1960 and y represents the corresponding percentage of oil imports.1004100-Fossil Fuel ProductionProduction (%)96Year19600-0-1970916060198088Years after 1960Years after 1960199084OC.OD.200083100,100-0-0-60Years after 196060Years after 190(B) Interpret the slope of the model.The rate of change of the percentage of oil imports with respect to time isper year.(C) Use the model to predict fossil fuel production in 2010.In 2010 fossil fuel production as a percentage of total production will be about %.(Round to one decimal place as needed.)(D) Use the model to estimate the year in which fossil fuel production will fall below 70% of total energy production.In the year fossil fuel production is expected to fall below 70% of total energy production.(Round up to the nearest year.)

“Since you have posted a question with multiple sub-parts, we will solve first three subparts for…

The table lists fossil fuel production as a percentage of total energy production for selected years. A linear regression model for this data is (A) Draw a scatter plot of the data and a graph of the model on the same axes. y= -0.33x + 95.0 OA. OB. where x represents years after 1960 and y represents the corresponding percentage of oil imports. 100 100 Fossil Fuel Production Production (%) 96 91 88 84 83 Year 1960 1970 1980 1990 2000 Years after 1900 Years after 1900 OC. OD. OD. 100 100 Years after 1000 Years after 1000 (B) Interpret the slope of the model. The rate of change of the percentage of oil imports with respect to time is per year. (C) Use the model to predict fossil fuel production in 2010. In 2010 fossil fuel production as a percentage of total production will be about %. (Round to one decimal place as needed.) (D) Use the model to estimate the year in which fossil fuel production will fall below 70% of total energy production. In the year fossil fuel production is expected to fall below 70% of total energy production. (Round up to the nearest year.)

The table lists fossil fuel production as a percentage of total energy production for selected years. A linear regression model for this data is (A) Draw a scatter plot of the data and a graph of the model on the same axes. y= -0.33x + 95.0 OA. OB. where x represents years after 1960 and y represents the corresponding percentage of oil imports. 100 100 Fossil Fuel Production Production (%) 96 91 88 84 83 Year 1960 1970 1980 1990 2000 Years after 1900 Years after 1900 OC. OD. OD. 100 100 Years after 1000 Years after 1000 (B) Interpret the slope of the model. The rate of change of the percentage of oil imports with respect to time is per year. (C) Use the model to predict fossil fuel production in 2010. In 2010 fossil fuel production as a percentage of total production will be about %. (Round to one decimal place as needed.) (D) Use the model to estimate the year in which fossil fuel production will fall below 70% of total energy production. In the year fossil fuel production is expected to fall below 70% of total energy production. (Round up to the nearest year.)

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: The table below show data that has been collected from different fields from various farms in a…

A: In this case weight of the Raspberries (x) is the independent variable and Vitamin C content (y) is…

Q: Day of week Number of toys 1 4 5 6 14 24 35 47 53 67 Use linear regression to find the equation for…

A: From given data, X Y X*Y X*X 1 14 14 1 2 24 48 4 3 35 105 9 4 47 188 16 5 53 265 25 6…

Q: The data in the given Table indicate that between the ages of 1 and 11, the human brain does not…

A: The data in the given Table indicate that between the ages of 1 and 11, the human brain does not…

Q: 100 32.6 A) Find the regression equation: y = Round your answers to 3 decimal places + X B) Answer…

Q: A linear regression model for the revenue data for a company is R = 25.8t+206 where R is total…

A: We use the given data and given regression model to draw the scatter plot along with graph of the…

Q: The table below show data that has been collected from different fields from various farms in a…

A: Given data, X Y X*Y X*X 45 7.3 328.5 2025 60 14.3 858 3600 75 20.8 1560 5625 90 27.5 2475…

Q: A researcher wants to know if the gestation period (in days) of an animal can be used to predict…

A: The regression equation is x represents gestation period (in days) and y represents Life expectancy…

Q: The holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on…

A: The holder of Cypres Recordings studied the relationship among sales (y) and the amount spent on…

Q: Wildlife researchers believe they can accurately predict an alligator's weight (lbs.) based on the…

A: The coefficient of x in the regression equation is known as slope of the regression equation. It…

Q: I am lost ont his, help! The table below contains the average public school classroom teacher's…

A: Given Enter above data into Excel sheet

Q: expenditures for Medicare (in billions of dollars) by the US

Q: The population of a country is expected to drop by 30% over the next 50 years as the percent of its…

A: Output:In Excel, enter the data in cells A1 to A7 (t) and B1 to B7 (P); the first row is for…

Q: Q3 Climate change 2013. Relationship between CO2 measured at Mauna Loa and average global…

A: Given the relationship between Co2 measured and average global temperature. Please find the solution…

Q: x y 1 767 2 821 3 779 4 792 5 807 6 829 Use linear regression to find the equation for the linear…

A: Solution: The given data is

Q: Sales (in thousands) 1000- 500 1994 1996 1998 ● 2000 Year ● 2002 2004 2006 The sales (in 1000's) for…

Q: The table lists fossil fuel production as a percentage of total energy production for selected…

A: The table lists fossil fuel production as a percentage of total energy production for selected…

Q: Round answers to two decimal places. The Murder-Homicide rate from 1990 to 2018 is shown below in a…

Q: he table below show data that has been collected from different fields from various farms in a…

A: Given data, X Y X*Y X*X 45 7.3 328.5 2025 55 11.5 632.5 3025 65 16.6 1079 4225 75 20.5…

Q: (b) Calculate the equation of the estimated regression line. (Round all numerical values to two…

Q: The table below shows the percentage of male and female high school graduates who enrolled in…

A: Introduction: For both parts a and b, x denotes the number of years since the year 1960. Thus, x =…

Q: The data in Table indicate that between the ages of 1 and 11, the human brain does not grow…

Q: The table below show data that has been collected from different fields from various farms in a…

A: The number of observations is 7.

Q: Chap 13 Simple Linear Regression 13. Plot the following straight lines. Give the values of the…

Q: The graph below includes the results of a linear regression using this data. (For example, the…

A: A regression equation is given, where BMI is the independent variable (x) and insurance charge is…

Q: Let x be the size of a house (in square feet) and y be the amount of natural gas used (therms)…

A: Let x be the size of a house (in square feet) and y be the amount of natural gas used (therms)…

Q: y 733 1 2 749 756 4 795 779 6 778 Use linear regression to find the equation for the linear function…

A: From the given information, Consider, The data is as shown below: x y 1 733 2 749 3 756…

Q: Day of week 1 3 4 6 Number of Boats 23 38 56 68 84 100 Use linear regression to find the equation…

Q: Number of People Killed 400 350 300 250 200 150 100 50 0 -50 -100 -150 1 2 5 6 9 10 Magnitude of…

A: Given a scatter plot, we have to write which colored line best represents this equation.

Q: The table below show data that has been collected from different fields from various farms in a…

A: Let Y be the the vitamin C content and X be the weight of Raspberries, then the linear regression…

Q: #26The quarterly sales data (number of copies sold) for a college textbook over the past three years…

A: a)Step-by-step procedure to draw the time series plot using the MINITAB software is as…

Q: Situation: The Ipod Touch has been out for two years now and a lot of data has been collected.…

A: A. s=T(p)=−0.34p+262 B. above C. 185200 D. $ 200Explanation:Step 1: Conduct a Linear Regression test…

Q: ator to find a linear model for this data. dose= type your answer... (weight) Use your model to…

A: Regression equation has two regressors, they are slope and intercept. Slope is the changing variable…

Q: ) Find the regression equation: y=y= x+x+ Round your answers to 3 decimal places B)…

Q: x y 1 771 2 760 3 787…

A: To find the equation for the linear function that best fits the given data.

Q: The data below are the weights (in Ibs) and heights (in inches) of some members of FSU's Dept of…

A: Let 'y' be the weight of the members and 'x' be their height. The linear model to predict weight…

Q: mal relationship between Pric I data that have been collecte Weekly Demand,s,(1,000s) 213 209 199…

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

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

The table lists fossil fuel production as a percentage of total energy production for selected years. A linear regression model for this data is
(A) Draw a scatter plot of the data and a graph of the model on the same axes.
y = - 0.33x + 95.0
O A.
О В.
where x represents years after 1960 and y represents the corresponding percentage of oil imports.
1004
100-
Fossil Fuel Production
Production (%)
96
Year
1960
0-
0-
1970
91
60
60
1980
88
Years after 1960
Years after 1960
1990
84
OC.
OD.
2000
83
100,
100-
0-
0-
60
Years after 1960
60
Years after 190
(B) Interpret the slope of the model.
The rate of change of the percentage of oil imports with respect to time is
per year.
(C) Use the model to predict fossil fuel production in 2010.
In 2010 fossil fuel production as a percentage of total production will be about %.
(Round to one decimal place as needed.)
(D) Use the model to estimate the year in which fossil fuel production will fall below 70% of total energy production.
In the year fossil fuel production is expected to fall below 70% of total energy production.
(Round up to the nearest year.)

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

Notice

Scatterplot

Slope

Prediction

Trending now

This is a popular solution!

Step by step

Solved in 4 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

The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams 60 70 80 90 100 110 120 Vitamin C content in mg 14.3 18.5 22.5 28.1 32 37.2 41.4 A) Find the regression equation: Y x + Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 150 grams of raspberries what is the expected Vitamin C content? mg (round to the nearest tenth)
5c please answer the C
The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. grams Vitamin Ccontent in mg 75 20.5 85 25.3 95 30.3 105 34.9 115 39.1 125 42.8 135 48.7 A) Find the regression equation: y=y= x+x+ Round your answers to 3 decimal places B) Answer the following questions using your un-rounded regression equation. If we test 165 grams of raspberries what is the expected Vitamin C content? mgmg (round to the nearest tenth)
A. Give the regression equation in the form y=Asin(B(x-C))+D B. Use the regression equation to predict the average number of daylight hours in February 2017.
A set of X and Y scores has SSX = 15, SSY = 24, and SP = 60. The regression equation for these scores will have a slope constant of ______. a. 6 b. 5 c. 3 d. 4
Marine scientists use a linear model for the speed c of sound in the oceans as a function of the salinity S at a fixed depth and temperature.† In the following table, one scientist recorded data for c and S at a depth of 500 meters and a temperature of 15 degrees Celsius. Here c is measured in meters per second and S in parts per thousand. Salinity S Sound speed c 35.0 1515.36 35.6 1516.08 36.2 1516.80 36.8 1517.62 37.4 1518.24 (a) Looking over the table, the scientist realizes that one of the entries for sound speed is in error. Which entry is it?S = What is the correct speed?c = m/sec(b) Explain in practical terms the meaning of the slope of the linear model for c in terms of S at the given depth and temperature. The slope means that, at the given depth and temperature, for an increase in salinity of part per thousand the speed of sound increases by meters per second. (c) Calculate c(38.2).c(38.2) = m/secExplain in practical terms what it means. This means…
The percentage of adults who smoke in America is given below. Year America 1970 37.4 mon n 1980 33.2 1990 25.3 2000 23.1 2010 19.4 a) Write the linear regression model for A(x), representing the percentage of adult smokers in America x years since 1970. [Use your calculator OR Desmos to find the equation, Round coefficients to the nearest 100"] b) What is the slope of A(x)? Explain its meaning. c) Solve A(x) = 15. Show your work. Explain the meaning of your answer. d) Suppose in 2005, there were approximately 200 million adults in America. Use your model to estimate how many were smokers. Show how you get your answer.
The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places y= Raspberry Type Farm A - North Field Farm B - North Field Farm A - South Field Farm B - South Field Farm C -Small Field Farm D Farm E x+ grams 60 65 70 75 80 85 90 Vitamin C content in mg 14.3 16.1 18.9 20.3 22.8 25.5 27.5 According to this model, how many mg of Vitamin C can be expected in a raspberry that weighs 82 grams Round to 3 decimal places.