A. Suppose you have fit two different models to predict the salary of a worker in the U.S. Model 1 has an R2 of 90% and the residual plot shows a trend. The other diagnostic plots look good. Model 2 has an R2 of 60% and all of the diagnostic plots look good. Which model should you use?
a) Model 1
b) Model 2
B. Explain your choice
Answer
(A) model 2 is good
(B) It is clear that the R squared value for model 1 is higher than model 2, but the residual plot for model 1 is trending whereas the residual plot for model 2 is normal. So, this shows that the model 2 is more efficient and helpful in predicting the salary of a worker in the US. Model 1 is showing that 90% of the variation in salary of a worker in US can be predicted by the model, but the trending residual chart is not good for making prediction.
So, model 2 good.
A. Suppose you have fit two different models to predict the salary of a worker in...
Problem: You are interested in factors that predict the salaries
of catwalk models. You collected data from 231 models (attached
SPSS data file: supermodel_1.sav). For each model, you asked:
salary per day in dollars (on days when working (variable:
salary_2), age (variable: age), and how many years they have worked
as a model (variable: years). You also got a panel of experts from
various modeling agencies to rate the attractiveness of each model
as a percentage, with 100% being perfectly...
When you use linear regression to fit a linear model, and create a scatterplot of actual vs. predicted values, you would ideally see: a. the points lie close to the diagonal line from bottom left to upper right b. the points form a random "cloud" C. the point lie close to a horizontal line (write a, b or c): (True/False) If you have many variables (features), you will tend to prefer non-parametric methods to parametric methods. The two plots below...
In running the analysis for a multiple linear regression, you have two models with different number of variables (1st model with 3 variables and 2nd model with 4 variables), having 30 and 35 observations and R2 = 0.58 and 0.62, respectively. Conduct an analysis to identify which model to be selected.
To examine the differences between salaries of male and female middle managers of a large bank, 90 individuals were randomly selected, and two models were created with the following variables considered Salary- the monthly salary (excluding fringe benefits and bonuses), Educ the number of years of education, Exper the number of months of experience, Train the number of weeks of training, Gender- the gender of an individual; 1 for males, and O for females. Excel partial outputs corresponding to these...
This question is about specialization and trade. A.) Suppose a worker in the U.S. can produce 4 cars or 10 computers. A worker in Russia can produce 2 cars or 10 computers. Suppose that the U.S. has 100,000 workers and Russia has 200,000 workers. Draw the PPF for each country. Be sure to keep the axes on the two graphs consistent. B.) Compute absolute advantage C.) Compute comparative advantage D.) Suppose that the U.S. makes only what they have comparative...
the same brand/model. The university supplier has three different models. The lab manager has borrowed one of each of the three models for a week in order to test which one is the most reliable before deciding to do the purchase. A co-op student who works in the lab is assigned to test each pH meter seven times with a solution that has a known pH of 7. The plot below is the result of the pH analysis (of the...
a. What does the line of best fit predict the company's revenue to be in 2011 (year T)? Which problem-solving method is most suitable for this problem? The graph below shows a company's revenues in 2004, 2006, 2008, and 2010. The equations for the ine of best fit and the parabola of best fit for the data are y- 92x 501 and y 136 1 0k 10 43 respecively In 2011, the company's revenue was 108 25 billion dollars Use...
A) 380 370 360 350 01/1985 01/1987 01/1989 01/1991 01/1993 01/1995 01/1997 01/1999 01/2001 01/2003 date B) 15 10 10 15 01/1985 01/1989 01/1993 01/1997 01/2001 01/2005 date C) 2- 2- 01/1985 01/1989 01/1991 01/1993 01/1995 01/1997 01/1999 01/2001 01/2003 date D) 01/1985 01/1987 01/1989 01/1991 01/1993 01/1995 01/1997 01/1999 01/2001 01/2003 01/2005 Atmospheric Carbon Dioxide Record from Alert, Canada. The time series plot in Figure A displays Monthly Carbon dioxide (CO2) measurements at Alert, NWT, Canada from July 1985...
The following data set (columns C1 thru C4 of exam2.mtw)
attempts to model the annual salary (in thousands of dollars) of a
random sample of n=20 high school mathematics teachers using years
of teaching experience and geographic location (0= South, and
1=North). The data set is given below. The same data set and
Minitab output is provided exam2.mtw.
Your model should first be built in order to answer all of the
following research questions. Make certain you have...
Please I need the mathematical proves in all questions
and
steps
Question 1 15 MARKS Suppose that we have two possible models that we are considering. Although we don't realize it, the first model (M1) is the correct model, in the sense that its error term satisfies all of the usual assumptions: Mi: y= XB+€ (0,-1.) (Correct Model). The other model (M2) is an incorrectly specified model: M2: y = 2 + (False Model). In each case we have the...