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Question
A time series analysis was performed to determine the number of new online customers that joined the "˜Jelly of the Month Club". The actual number of new customers, the forecast values and error terms is presented in the following table. The mean squared error (MSE) for this forecast is ___________.| Month | Actual | Forecast | Error |
| July | 4 | ||
| Aug | 6 | 5 | -1 |
| Sept | 3 | 6 | 3 |
| Oct | 9 | 8 | -1 |
| Nov | 8 | 9 | 1 |
a) -0.50
b) 0.50
c) 1.50
d) 7.00
e) 3.00
Answer
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Related questions
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Q:
The mean square error (MSerr) is calculated by dividing the sum of squares error (SSerr) by the number of error degrees of freedom (dferr).
Q:
Annie Mikhail, market analyst for a national company specializing in historic city tours, is analyzing the relationship between the sales revenue from historic city tours and the size of the city. She gathers data from six cities in which the tours are offered. Annie's dependent variable is annual sales revenues and her independent variable is the city population. Regression analysis of the data yielded the following tables. Coefficients
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Q:
Annie Mikhail, market analyst for a national company specializing in historic city tours, is analyzing the relationship between the sales revenue from historic city tours and the size of the city. She gathers data from six cities in which the tours are offered. Annie's dependent variable is annual sales revenues and her independent variable is the city population. Regression analysis of the data yielded the following tables. Coefficients
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df
SS
MS
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1
3.550325
3.550325
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4
0.224675
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3.775 Annie's sample size is __________.
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Q:
Annie Mikhail, market analyst for a national company specializing in historic city tours, is analyzing the relationship between the sales revenue from historic city tours and the size of the city. She gathers data from six cities in which the tours are offered. Annie's dependent variable is annual sales revenues and her independent variable is the city population. Regression analysis of the data yielded the following tables. Coefficients
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0.224675
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Q:
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Q:
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Q:
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The proportion of variability of the dependent variable accounted for or explained by the independent variable is called the _______.
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The numerical value of the coefficient of determination must be _______.
a) between -1 and +1
b) between -1 and 0
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A standard deviation of the error of the regression model is called the _______.
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Q:
The following residuals plot indicates _______________. a) a nonlinear relation
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d) the sample is biased
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