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A test is conducted in eight cities to see if giving away free transit system maps will increase bus ridership. In a regression analysis, the ...
dependent variable is the increase in bus ridership in thousands of persons from the start of the test until its conclusion. The independent variables are X1 = the number in thousands of free maps distributed and X2 = a binary equal to 1, if the city has free downtown parking and 0 otherwise. The estimated regression equation is Y = 1.32 .0345X1-1.45X2. If the y value for city 3 is 7.3, x1 = 140, and x2 = 0 the residual for city 3 in thousands is
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The estimated regression equation for Y should be Y = 1.32+.0345X1-1.45X2. There is error in your given equation. And the answer for that equation ...
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User: A test is conducted in eight cities to see if giving away free transit system maps will increase bus ridership. In a regression analysis, the dependent variable is the increase in bus ridership in thousands of persons from the start of the test until its conclusion. The independent variables are X1 = the number in thousands of free maps distributed and X2 = a binary equal to 1, if the city has free downtown parking and 0 otherwise. The estimated regression equation is Y = 1.32 .0345X1-1.45X2. If the y value for city 3 is 7.3, x1 = 140, and x2 = 0 the residual for city 3 in thousands is

Weegy: The estimated regression equation for Y should be Y = 1.32+.0345X1-1.45X2. There is error in your given equation. And the answer for that equation will be 1.15
Auto answered|Score .9771|migzptz|Points 3567|

User: The following linear trend equation was developed for annual sales of the tractor manufacturing company. Y' = 355 + 50t in thousands of dollars. How much are ssales increasing by?

Weegy: A. \$50,000 per year
Auto answered|Score .8948|icyan29|Points 787|

User: The time series component that reflects variability over short, repetitive time periods that last less than one year is called

Weegy: ... they are called the hard component. ... that have less energy than the primary ... variability is the dominant "climate driver" over these time periods. ... [www.answers.com/topic/cosmic-ray]
Auto answered|Score .6983

User: If we fit a linear trend to data that are growing exponentially,

Weegy: c. a and b would be true if reversed, the beginning and end would be too high, the middle too low. [http://answers.yahoo.com/question/?qid=20080601222405AARKSsj]
Auto answered|Score 1

User: What parametric test is equivalent to the nonparametric spearman's rank test?

Weegy: Parametric statistical tests assume that your data are normally distributed (follow a classic bell-shaped curve). An example of a parametric statistical test is the Student's t-test. Non-parametric tests make no such assumption. [ An example of a non-parametric statistical test is the Sign Test. ..............http://wiki.answers.com/Q/What_are_examples_of_parametric_and_nonparametric_statistical_tests ]
Auto answered|Score .6|sujaysen|Points 995|

User: A research company has been hired by a realty company to do an analysis of heating costs of homes in the region. The realty company wanted to be able to predict the heating cost of a sinle-family home. The realty company was costantly being asked questions regarding heating costs by potential home buyers. It was believed that these variables wold 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?

Weegy: i have seen the formula but i could not see the statement. Maybe you need to make it complete.
Auto answered|Score .8419|latefisher|Points 1105|

User: A research company has been hired by a realty company to do an analysis of heating costs of homes in the region. The realty company wanted to be able to predict the heating cost of a sinle-family home. The realty company was costantly being asked questions regarding heating costs by potential home buyers. It was believed that these variables wold 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? 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: i have seen the formula but i could not see the statement. Maybe you need to make it complete.
Auto answered|Score .8256|latefisher|Points 1105|

User: 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 superpremium. 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?

Weegy: Study, pay attention in class, do your homework, ask questions if you don't understand, take notes, go to all review sessions with teachers. And, you will get high grades. Best of luck!
Auto answered|Score .8791|rhyann08|Points 71|

All Categories|No Subcategories|Auto answered|12/3/2011 5:27:35 PM
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