Chapter 4 Simple regression model Practice problems

Use Chapter 4 Powerpoint question 4.1 to answer the following questions: 1. Report the Eveiw output for regression model .
Please write down your fitted regression model.

2. Are the sign for consistent with your expectation, explain?

3. Hypothesize the sign of the coefficient and test your hypothesis at 5% significance level using t-table.

4. What percentage of variation in 30 year fixed mortgage rate is explained by this model? Why?

Use Chapter 4 Powerpoint question 4.2 to answer the following questions:

5. Report the Eveiw output for regression model
Based on the estimation period of 1986.01 – 1999.07. Please write down your fitted regression model.

6. Is Trend correlated with USPI? Set up the hypothesis testing at 5% significance level.

7. What percentage of variation in USPI is explained by this model? Why?

8. Based on your Eview model, report your forecast of USPI for the period of 1999.08-2000.07. Report RMSE.

Use Chapter 4 Powerpoint question 4.3 to answer the following questions:

9. Report the Eveiw output for regression model USPIt = (USTBR)t + t based on the estimation period of 1986.01 – 1999.07. Please write down your fitted regression model.

...The simpleregressionmodel (SRM) is model for association in the population between an explanatory variable X and response Y. The SRM states that these averages align on a line with intercept β0 and slope β1: µy|x = E(Y|X = x) = β0 + β1x
Deviation from the Mean
The deviation of observed responses around the conditional means µy|x are called errors (ε). The error’s equation: ε = y - µy|x
Errors can be positive or negative,...

...
Simple Linear RegressionModel
1. The following data represent the number of flash drives sold per day at a local computer shop and their prices.
| Price (x) | Units Sold (y) |
| $34 | 3 |
| 36 | 4 |
| 32 | 6 |
| 35 | 5 |
| 30 | 9 |
| 38 | 2 |
| 40 | 1 |
| a. Develop as scatter diagram for these data. b. What does the scatter diagram indicate about the relationship between the two variables? c. Develop the...

...considers the relationship between two variables in two ways: (1) by using regression analysis and (2) by computing the correlation coefficient. By using the regressionmodel, we can evaluate the magnitude of change in one variable due to a certain change in another variable. For example, an economist can estimate the amount of change in food expenditure due to a certain change in the income of a household by using the regression...

...CHAPTER 16
SIMPLE LINEAR REGRESSION
AND CORRELATION
SECTIONS 1 - 2
MULTIPLE CHOICE QUESTIONS
In the following multiple-choice questions, please circle the correct answer.
1. The regression line [pic] = 3 + 2x has been fitted to the data points (4, 8), (2, 5), and (1, 2). The sum of the squared residuals will be:
a. 7
b. 15
c. 8
d. 22
ANSWER: d
2. If an estimated regression line has a...

...-------------------------------------------------
Simpleregression and correlation
Submitted by Sohaib Roomi
Submitted to:Miss Tahreem
Roll No M12BBA014
SimpleRegression
And Correlation
Introduction
The term regression was introduced by the English biometrician, Sir Francis Galton (1822-1911) to describe a phenomenon in which he observed in analyzing the heights of children and their parents. He solved a...

...study retailers behavior towards Aircel in selected region. The data is collected directly by visiting outlets through structured interview scheduled. The statistical tools used to analyze the data are: Co-relation analysis, Simple Linear Regression and Multiple Linear Regression. The software used to analyze the data is Windostat version 8.6, developed by Indostat services, is an advanced level statistical software for research and experimental...

...there simply is not going to be a housing recovery. In this report, I will perform a regression analysis to determine the effect of the Unemployment Rate (UR) on Total New Houses Sold (TNHS). I expect that there will be a negative relationship between the two variables. In other words, as the unemployment rate increases, the total number of new houses sold will decrease.
The simple functional form of the model is TNHS=f(UR), where TNHS (measured in...

...STATISTICS FOR MGT DECISIONS
FINAL EXAMINATION
Forecasting – Simple Linear Regression Applications
Interpretation and Use of Computer Output (Results)
NAME
SECTION A – REGRESSION ANALYSIS AND FORECASTING
1) The management of an international hotel chain is in the process of evaluating the possible sites for a new unit on a beach resort. As part of the analysis, the management is interested in evaluating the relationship between the...

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