Answered: regression equation: Y= 11.5355x-58.77…

regression equation: Y= 11.5355x-58.77 If a new home is to have 3000 sq. ft. (i.e., 30 hundred sq. ft.), predict the price of the home using your regression equation.

Advanced Engineering Mathematics

10th Edition

ISBN:9780470458365

Author:Erwin Kreyszig

Publisher:Erwin Kreyszig

Chapter2: Second-order Linear Odes

Section: Chapter Questions

Problem 1RQ

See similar textbooks

Related questions

Q: Data Table Internet Users Per 100 Nobel Laureates 79.8 5.6 79.7 24.2 78 8.5 45 0.1 83.2 6 38.5 0.1…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: The independent variable is hours of TV watched per day. The dependent variable is number of sit ups…

Q: 9.4.3 The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.4 +…

A: Given regression equation

Q: 3). Find the equation of the regression for the two correlated scores, and draws the linear diagram:…

A: The general linear function is defined by the equation, y=ax+b. The linear regression technique uses…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: "x" denotes hours of TV watched per day and "y" denotes no. of sit ups a person can do…

Q: do you need to add the days to the regression equation

Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y=-51.3 +0.4x, +…

A: Given dataThe equation is y⏞=-51.3+0.4x1+5.1x2 and given values are x1=71 and x2=8.9

Q: A regression study was conducted to determine a relationship between a car's age and its accumulated…

A: Given, Coefficient of DeterminationR2=0.25 Slope b=700 Intercept a=0.1 The required regression…

Q: A regression was run to determine if there is a relationship between hours of study per week (x) and…

A: Given that y=ax+b a = 5.235 b = 21.73 r ^2 = 0.36 r = 0.6

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: Calculate the regression equation of sales on expenditure. Find also the possible sale when the…

Q: Substitute into the regression model (equation) to predict monthly sales if $6250 is spent on…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: From the provided information, The regression equation can be obtained as:

Q: A real estate agent finds the following regression line for predicting the price of a house (y), in…

Q: The average temperature in a certain city has a statistically significant correlation to the monthly…

Q: Use the time/tip data from the table below, which includes data from New York City taxi rides. (The…

A: It is required to predict the tip (dollars) for a ride, using the time taken to complete that trip…

Q: A regression equation was fit relating a student's weight to the number of hours they spent on the…

A: The fitted equation is y=125.5+3.26x1+4.27x2+1.75x3

Q: The equation used to predict annual cauliflower yield (in pounds per acre) is y = 23,255 +4.599x, -…

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

Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -50.6+0.4x₁…

A: Since you have posted a question with multiple sub parts, we will provide the solution only to the…

Q: The equation used to predict annual cauliflower yield (in pounds per acre) is y=24,321 +4.534x₁ -…

A: Note:- "Since you have posted a question with multiple sub parts, we will provide the solution only…

Q: Write the equation of the regression line. You can round your numbers to two decimal places. The…

A: The relationship between the independent and dependent variable explained using the regression…

Q: A regression analysis was performed to determine if there is a relationship between hours of TV…

A: From the given information, a =-0.944 and b=28.563.

Q: What is the slope and intercept for the regression equation given this data? X = 72, 81, 54, 50, -3…

A: Given that X Y 72 69 81 97 54 73 50 22 -3 -10

Q: A person's hair is 8 centimeters long. The equation below can be used to estimate the length (L), in…

Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 51.7 +0.4x,…

A: Given, y^ = -51.7+0.4x1+4.7x2 where x1 is the tree's height and x2 is the tree's diameter

Q: Need help If my outer regression equation is Weight= -191.891 + 5.06 (Height) How do I find the…

A: The linear regression equation is given by,

Q: Use the regression equation = 12.36 + 4.745X to find the predicted value when x = 3.25

Q: The table gives the amount of money (in dollars) spent on football by a major university. Letting x…

A: Given: Where, Independent variable(x)= YearDependent variable(y) = Dollars spend on football Here x…

Q: regression analysis between cost to build a clinic (in dollars) and clinic size (in square foot)…

A: Given that ; y=75+6x X represent clinic size Y represent cost of a clinic build. Bu using the…

Q: You run a linear regression to predict BMI (body mass index) from average minutes of physical…

Q: The regression model for the number of diseases y = 0.4x² – 2.5x + 7.2 represents the number of flu…

A: Identifying the given regression curve will tell us the nature of values. y = 0.4x2 - 2.5x + 7.2…

Q: Use the regression equation to predict the suicide rate for a state with a divorce rate of 6.5. Y =…

A: Given Data: Regression Equation: y=-0.2+2.87x x=6.5

Q: ist was recording various temperatures (in degrees Celsius) and predicting the amount of glucose…

A: The general form of the regression line is: Y^=a+bXY Where Y^ is the predicted value, 'a' is the…

Q: An economist wants to predict the GDP per person measured in 2011 US dollars in Afghanistan based on…

A: Note:Hi there! Thank you for posting the question. To avoid plagiarism issues, we have used the…

Q: Height Weight GPA Study TV Computer FamilySz Floors stairs friends female Acctg Mgmt Mktg Fin IntBus…

A: The equation to be of form y=b0+b1x1+b2x2+b3x3+e Follow the steps below to get the Regression…

Q: Use the linear regression model yˆ=−24.8x+564.38 to predict the y-value for x=63.

A: Solution: The estimated linear regression model is y^= -24.8x+564.38

Q: In the regression equation Y = 85.65 + 0.70X1 - 3.43X2, the intercept is a. 0.70 b. -3.43 c. 1…

A: Given information- We have given the multiple linear regression equation. Y = 85.65 + 0.70X1 -…

Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.8 + 0.3x,…

A: Comments : As per our guidelines we are supposed to answer only three subparts. kindly repost other…

Q: The R2 from a regression of consumption on income is 0.75. Explain how the R2 is calculated and…

A: The statistic coefficient of determination is studied in correlation-regression.

Question

regression equation: Y= 11.5355x-58.77

If a new home is to have 3000 sq. ft. (i.e., 30 hundred sq. ft.), predict the price of the home
using your regression equation.

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: Given data and method:

VIEW

Step 2: solution and Explanation:

VIEW

Solution

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

Using the weights (lb) and highway fuel consumption amounts (mi/gal) of the 48 cars listed in the accompanying data set, one gets this regression equation: y = 58.9-0.00749x, where x represents weight. Complete parts (a) through (d). Click the icon to view the car data. The site to your captio V.UVITU. D. The slope is -0.00749 and the y-intercept is 58.9. c. What is the predictor variable? ... OA. The predictor variable is highway fuel consumption, which is represented by x. OB. The predictor variable is highway fuel consumption, which is represented by y. C. The predictor variable is weight, which is represented by x. OD. The predictor variable is weight, which is represented by y. d. Assuming that there is a significant linear correlation between weight and highway fuel consumption, what is the best predicted value for a car that weighs 2994 lb? The best predicted value of highway fuel consumption of a car that weighs 2994 lb is (Round to one decimal place as needed.) mi/gal.
please explain with an example.
please please help me i need help
nd fill in the coefficients for the regression equation: Y= _+ X1+ X2
A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (x) and number of sit ups a person can do (y).The results of the regression were: ˆy=-1.278 x+x+31.637r2=0.719104r2r=−0.848 Use this to predict the number of sit ups a person who watches 12 hours of TV can do, and please round your answer to a whole number.
The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = - 50.8 + 0.3x, +4.5x,, where x, is the tree's height (in feet) and x, is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. x, = 70, x, = 8.6 The predicted volume is cubic feet. (Round to one decimal place as needed.)
Please solve only part d) and part e)
A teacher wants to form a linear regression equation to predict a student's Score on the final based on the number of hours they spent studying for it. Final scores are in percents. y=2x + 60 R-Squared = 0.65 %3D What does the slope mean in terms of the situation? O For each additional hour a student studies, their grade on the final increases by 2%. O For each additional 2 hours a student student studies, their score on the final increases by 1%. O Every hour a student studies, increases their score on the final. O Always choose C. O The more a student studies, the better they will do on the final.
Statistics professor wants to use the number of hours (x) a student studies for a statistics final exam to predict the final exam score (y). A regression model was fit based on data collected from a class during the previous semester, with the following results: (y hat): y = 35.0 + 3X What is the slope? a. Yb. 35.0c. 3d. X
how do i interpret b1 and b2 in a multiple regression equation