Consider an example of a new car sale yard and the managers predicted that they would sell 1,400 of model A and 1,800 of model B in the fiscal year. They would prepare their budget accordingly. Sales of model A did not meet expectations and sold 1,200 units. Model B had sales rise to 2,400 vehicles for the year. The expected margin on each vehicle is $2,000 for model A and $3,000 for model B. Calculate the predicted and actual...
2. [20| Consider the car stopping distance example we studied in Section 2.2, with the model 2 where d is the stopping distance, v is the velocity of the car before braking, tr is the response time, and k is a coefficient related to the ratio of the braking force and the mass fo the car. (a) [5] Fit the model (i.e, determine the parameters t and k) to the data in the first column and the last column of...
3.28. Write in matrix form the state-variable model developed in Example 3.8, with the input x2(t) and the outputs xi and vi. Identify the matrices A, B, C, and D, the state vector q, the input vector u, and the output vector y. Also give the values of n, m, and p.
Create an economic model of rational crime. For example, imagine a burglar is deciding which house to break into or a car thief is deciding which car to steal. Explain assumptions of rationality by individuals or firms. What factors would a rational criminal take into account in deciding to commit a crime? Be sure to explain how economic models are used by economists to assess the example. What would convince the criminal to do the deed? Explain the circumstances that...
Explain the difference between fixed and variable costs. Give an example of a cost that varies with the number of miles you drive your car each week and an example of a cost that is fixed regardless of how many miles you drive your car each week.
When evaluating a multiple regression model, for example when we regress dependent variable Y on two independent variables X1 and X2, a commonly used goodness of fit measure is: A. Correlation between Y and X1 B. Correlation between Y and X2 C. Correlation between X1 and X2 D. Adjusted-R2 E. None of the above
Can someone show me an example
on how to fit a model using least square method in R, and make a
plot to compare the observed and predicted value?
2. [20] Consider the car stopping distance example we studied in Section 2.2, with the model where d is the stopping distance, v is the velocity of the car before braking, tr is the response time, and k is a coefficient related to the ratio of the braking force and the...
A European used car dealer built a multiple linear regression model to predict the resale price of a used car based on its conditions and features. The model with estimated coefficients is: Price= -1853.37 – 135.73 x Age + 12.74 x Weight + 39.27 x HP – 0.019 x KM + 16.44 x Quarterly_Tax + 1179.35 x Fuel_TypeDiesel + 2374.06 x Fuel_TypePetrol Descriptions of the variables in the model: Price: Offer price in Euros Age: Age in months as of...
Multiple-Concept Example 7 presents a model for solving problems such as this one. A 1020-kg van, stopped at a traffic light, is hit directly in the rear by a 747-kg car traveling with a velocity of +1.78 m/s. Assume that the transmission of the van is in neutral, the brakes are not being applied, and the collision is elastic. What is the final velocity of (a) the car and (b) the van?
Car Class Background: Write a class named Car that will be used to store information and control the acceleration and brake of a car. Functionality: 1. Write a class named "Car” that has the following member variables: • year Model - an int that holds the car's year model • make-A string that holds the make of the car • speed - an int that holds the car's current speed 2. In addition the class should have the following member...