A1.Regression analysis is ____________________________________. A) describes the strength of this linear relationship.
B) describes the mathematical relationship between two variables. C) describes the pattern of the data.
D) describes the characteristic of independent variable.

A2.__________________ is used to illustrate any relationship between two variables. A) Histogram
B) Pie chart
C) Scatter diagram
D) Frequency polygon

Questions A3 to A5 relate to the following information.

Suppose a firm fed the values of turnover, y, and advertising expenditure, x, (both in $000) for the past eight years, into a computer and obtained the regression relationship y = 26.7 + 8.5x.

A3.What is the dependent variable?
A) Number of computers
B) Size of the firm
C) Turnover
D) Advertising expenditure

A4.What is the independent variable?
A) Number of computers
B) Size of the firm
C) Turnover
D) Advertising expenditure

A5.If the advertising expenditure is $5000 in a particular year, estimate the turnover for that year. A) $69,200
B) $42,526.70
C) $26.7
D) $69.20

A6.Explain what the following sample correlation coefficients tell you about the relationship between the x and y values in the sample: r = - 0.8
A) No correlation.
B) Perfect negative correlation.
C) Strong negative correlation.
D) Weak negative correlation.

A7.What is meant by time-series data?
(A)A set of values which occurs sequentially in time.
(B)A set of qualitative data.
(C)A set of values which occurs randomly.
(D)A set of marks obtained by a group of students.

A8.The classical approach to time series analysis identifies four influences or components on the time series. Which of the following is NOT a time-series component?...

....2.3 Timeseries models
Timeseries is an ordered sequence of values of a variable at equally spaced time intervals. Timeseries occur frequently when looking at industrial data. The essential difference between modeling data via timeseries methods and the other methods is that Timeseriesanalysis accounts...

...TimeSeriesAnalysis
This (not surprisingly) concerns the analysis of data collected over time ... weekly values, monthly values, quarterly values, yearly values, etc. Usually the intent is to discern whether there is some pattern in the values collected to date, with the intention of short term forecasting (to use as the basis of business decisions). We will write yt = response of interest at time t (we...

...
Unit 5 – RegressionAnalysis
Mikeja R. Cherry
American InterContinental University
Abstract
In this brief, I will demonstrate selected perceptions of the company Nordstrom, Inc., a retailer that specializes in fashion apparel with over 12 million dollars in sales last year. I will research, review, and analyze perceptions of the company, create graphs to show qualitative and quantitative analysis, and provide a summary of my findings....

...QUESTION 21
The finishing process on new furniture leaves slight blemishes. The table below displays a manager's probability assessment of the number of blemishes on one piece of new furniture.
Number of Blemishes
0
1
2
3
4
5
Probability
0.34
0.25
0.19
0.11
0.07
0.04
1. On average, how many blemishes do we expect on one piece of new furniture?
2. What is the variance of blemishes on one piece of new furniture? (round to the nearest hundredth) ...

...Updated: November 11, 2011
Lecturer: Thilo Klein
Contact: tk375@cam.ac.uk
Contest Quiz 6
Question Sheet
In this quiz we will review non-linearity and model transformations covered in lectures 6 and 7.
Question 1: Logarithms
(i) The interpretation of the slope coefficient in the model Yi = β0 + β1 ln(Xi ) + ui is as follows:
(a) a 1% change in X is associated with a β1 % change in Y.
(b) a 1% change in X is associated with a change in Y of 0.01 β1 .
(c) a change...

...REGRESSIONANALYSIS
Correlation only indicates the degree and direction of relationship between two variables. It does not, necessarily connote a cause-effect relationship. Even when there are grounds to believe the causal relationship exits, correlation does not tell us which variable is the cause and which, the effect. For example, the demand for a commodity and its price will generally be found to be correlated, but the question whether demand...

...Quantitative Methods Project
RegressionAnalysis for the pricing of players in the
Indian Premier League
Executive Summary
The selling price of players at IPL auction is affected by more than one factor. Most of these factors affect each other and still others impact the selling price only indirectly. The challenge of...

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