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If we fit a linear trend to data that are growing exponentially,
A. the fitted trend will be too high at the end
B. the forecasts, if extrapolated, will be too low
C. the forecasts, if extrapolated, will be too high
D. the fitted trend will be too low in the middle **Weegy:** If we fit a linear trend to data that are growing exponentially, B. the forecasts, if extrapolated, will be too low. (More)

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Asked 2/9/2012 1:11:11 AM

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In nearly all decision-making models, which of the following is an essential step in the decision-making process? **Weegy:** Five Steps of Decision Making: 1. State The Problem , 2. Identify Alternatives, 3. Evaluate The Alternatives, 4. Make A Decision, 5. Implement Your Decision **User:** A research company has been hired by a realty company to do an analysis of heating cost of homes in the region. The realty company wanted to be able to predict the heating cost of a typical single-family home. The realty company was constantly being asked questions regarding heating costs by potential home buyers. It was believed that these variables would impact heating costs (Y'): mean daily outdoor temperature (X1), the number of inches of insulation (X2), and the age in years of the furnace (X3). The multiple regression analysis produced the following regression equation: Y' = 427.2 – 4.58X1 – 14.83X2 + 6.10X3. Which statement is correct based on this analysis?
A. The age of the furnace has an indirect relationship with heating costs.
B. There is an inverse relationship between outdoor temperature and heating costs.
C. There is no real clear relationship between these variables.
D. There exists a direct relationship between inches of insulation and heating costs. **Weegy:** 1.state the problem,2.evaluate the alternatives,3.identify alternatives,4.implement your decision,5.make your decision
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Asked 2/9/2012 1:08:29 AM

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What is the variable used to predict another variable called?
A. Independent variable
B. Dependent variable
C. Moderating variable
D. Intervening variable **Weegy:** d
**User:** Mr. Thomas owns three different restaurants in Cincinnati, Ohio. He is concerned about the profitability of the restaurants. There are monthly differences between the restaurants and he wants to determine if the differences in profit are significant. Mr. Thomas wants to do a statistical test to see if he should be concerned. The best test to address this problem would be
A. a paired t- test
B. two different t tests
C. an ANOVA test
D. a two sample test (More)

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Asked 2/9/2012 1:15:42 AM

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Totto, an automobile manufacturer, has designed a radically new engine and wants to recommend the grade of gasoline that will have the best fuel economy. The four grades are regular, below regular, premium, and super premium. The test car made three trial runs on the test track using each of the grades and the miles per gallon were recorded. At the 0.05 level, what is the critical value of F used to test the hypothesis that the miles per gallon for each fuel are the same?
A. 1.96
B. 4.07
C. ...**Weegy:** A.
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Asked 2/9/2012 1:35:52 AM

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What parametric test is equivalent to the nonparametric Spearman's rank test?
A. T-test of correlation coefficient
B. T-test of two sample means
C. T-test of one sample mean.
D. T-test of two sample proportions **Weegy:** The parametric test which is equivalent to the nonparametric Spearman's rank test is A. T-test of correlation coefficient . **User:** Mr. Thomas owns three different restaurants in Cincinnati, Ohio. He is concerned about the profitability of the restaurants. There are monthly differences between the restaurants and he wants to determine if the differences in profit are significant. Mr. Thomas wants to do a statistical test to see if he should be concerned. The best test to address this problem would be
A. a paired t- test
B. two different t tests
C. an ANOVA test
D. a two sample test (More)

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Updated 2/9/2012 2:32:40 AM

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The answer is C. an ANOVA test ; In statistics, analysis of variance (ANOVA) is a collection of statistical models, and their associated procedures, in which the observed variance in a particular variable is partitioned into components attributable to different sources of variation. In its simplest form, ANOVA provides a statistical test of whether or not the means of several groups are all equal, and therefore generalizes t-test to more than two groups. Doing multiple two-sample t-tests would result in an increased chance of committing a type I error. For this reason, ANOVAs are useful in comparing two, three, or more means.

Added 2/9/2012 2:32:40 AM

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