Given the following multiple linear regression where shell (shell gas stock) price. shell = 15 - 0.5 * (interest rate) + 0.4 * (oil price) + 0.003 * (S&P500). Estimate the price of shell when the interest rate is 22, oil price is $95, and S&P500 = 4000 A.64 B. 38 C. 15 D. 12

Given the following multiple linear regression where shell (shell gas stock) price. shell = 15 - 0.5 * (interest rate) + 0.4 * (oil price) + 0.003 * (S&P500). Estimate the price of shell when the interest rate is 22, oil price is $95, and S&P500 = 4000 A.64 B. 38 C. 15 D. 12

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: first year college students were selected with their grades in Grade 12 Math and Math in the Modern…

A: Here we are given x…

Q: The table shows the total square footage (in billions) of retailing space at shopping centers and…

A: The data indicates the total square footage of retailing space at shopping centers and their sales…

Q: If the slope of the fitted regression line is -0.91, then describe the relationship between two…

A: It is given that the slope of the fitted regression line is –0.91. The variable y represents the…

Q: Assume you were forecasting the demand of a table and you have 10 years of data. Using a static…

A: The seasonal indices for demand forecasting can be interpreted to give an estimated comparison with…

Q: The regression constant for predicting average non-inflation adjusted annual earnings from years of…

A: In this case, the independent variable is the number of years of schooling (x) and the dependent…

Q: A statistician wants to see if there is a relationship between Salary and Age, where Salary is…

Q: 13. Using your calculator, find a linear regression equation for years vs. adjusted gasoline prices.…

A: Gas price per gallon { 1.30,1.47,1.14,1.47,1.50,1.82,2.32,2.27,3.05,1.79,2.73,3.09,3.40 } N = 13…

Q: What is the Y predicted value if we find a simple linear regression model ŷi = -10 + 22.5 xi, when…

Q: A study of the mail survey response rate patterns of people aged 60-90 found a prediction equation…

A: According to the provided information, The linear equation is: Y=90.2 - 0.6 X Where, 90.2 is the…

Q: Calculate the simple linear regression to determine if the amount of sleep (y) can be predicted by…

A: The following data for the X and Y variables are given for linear regression model: X = Homework…

Q: Interpret the value of the slope of the regression line obtained in (c). e) Calculate the…

A: Given that Correlation coefficient=r=0.9183 Regression equation y=60.3114+3.1957x

Q: Interpret the slope of the regression line in terms of the problem. Predict the weight of trash in…

Q: The following is a linear regression model for the number of orders processed by a warehouse:…

A: Given that: The linear regression model equation, y=-500x+24000. Where y-number of claims processed…

Q: A patient is classified as having gestational diabetes if their average glucose level is above 140…

A: Given Information: A person is classified having gestational diabetes if their average glucose level…

Q: Canada's trade balance with the rest of the world has been steadily increasing over the past several…

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

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: Business Science textbook stated that the longer the trading hours, the higher the turnovers. Based…

A: The regression line is y= 900+1500 x and trading hours = 16 hours per day.

Q: marginal change and an ordered pair are given. b = 2, (5, 3) Write the equation of the line in…

Q: Scientists measured the annual forest loss (in square kilometers) in Indonesia from 2000 to 2012.…

A: given data regression line : forest loss=7500+(1021×years since 2000) for predicting forest loss(y)…

Q: The explained variation in a regression model tells us: Whether the relationship is direct…

A: We tell you which one is the correct choice.

Q: The intercept is 0, the autoregressive coefficient is 0.2 and the moving average coefficient is 0.5…

A: Let us consider, the ARIMA(1, 1, 1) model with intercept is, Y^t+1=μ+1+ϕYt-ϕYt-1-θet From the given…

Q: A researcher found that the linear regression equation has a slope of 3 and an intercept of -6. What…

A: The objective of this question is to find the predicted value of Y for a given value of X using the…

Q: The equation of regression line is Y = 1.2 + 0.546 x. Estimate the value of Y when X = 8?

A: Answer: Given that, The equation of a regression line is Y = 1.2 + 0.546 X

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: we observe that the forward rate to be 1% below the spot rate what is the expected rate of change in…

A: Here Given Regression relation between forward premium as the independent variable and the rate of…

Q: A researcher tells you that there are non-linearities in the relationship between wages and years of…

A: According to the provided information, it is mentioned by the researcher that there are…

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: Do you observe a linear relationship between the two variables; consider R2?

A: Determine whether there is any linear relationship between the two variables or not. There is…

Q: 4. We noted in the text that the EKF linearization is an approximation. To see how bad this…

A: The objective of this question is to understand the approximation error in Extended Kalman Filter…

Q: The regression slope predicts the change in Y per unit change in X. True False

A: The question is about regression.Introduction :The general form of simple linear regression equation…

Q: It is believed that the electrical energy that a chemical plant consumes each month is related to…

A: In this case Average ambient temperature, Number of days of the month, Average product purity, Tons…

Q: Analysis of the relationship between the fuel economy (combinedMPG) and displacement (in liters) for…

A: given data regression equation : combinedMPH = 33.472 - 3.317Displacement here displacement is…

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

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

Q: question 1: y̅ = ?+?x question 2: r2 for this model is ?. There is (more, less or no…

Q: You estimate a regression equation that estimates individuals’ yearly income as a function of age…

A: The estimated regression equation is,I = 26.3+4.21×Age+7.21×Education+0.23×IQ

Q: researcher knows that people with higher annual salaries commit fewer crimes. He is creating a…

A: Let x be the annual salary of people and y be the number of crimes A researcher knows that people…

Q: A patient is classified as having gestational diabetes if their average glucose level is above 140…

Q: Data was collected for a regression analysis where sleep quality (as a percentage) depends on the…

A: The slope in the regression line defines the average change in dependent or response variable for…

Q: The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.2+0.4x₁ +…

A: Given Multiple regression equation is y^= -51.2+0.4x1+4.8x2

Question

A.64

B. 38

C. 15

D. 12

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

Step 3

VIEW

Trending now

This is a popular solution!

Step by step

Solved in 3 steps with 3 images

SEE SOLUTION Check out a sample Q&A here

Similar questions

What are the interpretations of the Y intercept and the slopes in a multiple regression model?
please solve all parts as soon as possible
Develop a scatterplot and explore the correlation between customer age and net sales by each type of customer (regular/promotion). Use the horizontal axis for the customer age to graph. Find the linear regression line that models the data by each type of customer. Round the rate of changes (slopes) to two decimal places and interpret them in terms of the relation between the change in age and the change in net sales. What can you conclude? Hint: Rate of Change = Vertical Change / Horizontal Change = Change in y / Change in x
If the relation between Y and X is nonlinear, explain using appropriate mathematical statistics the effect on Y of a change in X.
M3
Q1) A real estate consultant is considering developing a series of price models for residential houses in different areas of the province of Ontario, in Canada. The dataset, provided by the Windsor and Essex County Board, covers residential home sales in Windsor. To develop the model, the consultant performs a linear regression to estimate the price (in Canadian dollars) as a linear function of the size of the apartment (in square feet) and obtains the following Excel result. SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.53580413 0.28708607 0.28577556 41101.9362 546 ANOVA df MS Significance F 1 3.70082E+11 3.7008E+11 219.065461 6.74643E-42 Regression Residual Total 544 9.19017E+11 1689369158 545 1.2891E+12 Coefficients Standard Error 62171.5874 4537.036582 13.7031268 6.2969E-37 53259.33066 71083.8441 t Stat P-value Lower 95% Upper 95% Intercept LOTSIZE 12.0187669 0.81203165 14.8008601 6.7464E-42 10.42366523 13.6138685 a) Write…
Jackson finds that the heavier a person is, the higher his pulse rate tends to be. A linear regression model he built suggests that 20-kilogram differences in weight correspond to differences in pulse rate of 5 beats per minute. Which of the following must be true and explain your answer. (I) The correlation coefficient between body weight and pulse rate is 1/4. (II) Your pulse rate slows down 3 beats per minute if your weight decreases by 12 kilograms.
Data was collected for a regression analysis comparing car weight and fuel consumption. b0 was found to be 32.7, b1 was found to be -7.6, and R2 was found to be 0.86. Interpret the y-intercept of the line. On average, each one unit increase in the weight of a car decreases its ful consumption by 7.6 units. On average, when x=0, a car gets -7.6 miles per gallon. On average, when x=0, a car gets 32.7 miles per gallon. On average, each one unit increase in the weight of a car increases its fuel comsumption by 32.7 units. We should not interpret the y-intercept in this problem.
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.
Suppose Isabella has developed the following fitted regression equation for the price of a Edmonton condo: Price = 152000 + 50*(Square Footage) (a) If someone wants to purchase a 770 sq. ft. Edmonton condo, how much should they expect to pay? Answer: $ (b) If they want to buy a unit that is 25 square feet bigger, then how much more money should they expect to pay? Answer: $ (c) Would the intercept be meaningful if this regression represents the average Edmonton condo (when square footage is 0)? O Yes O No Check