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Question
A local parent group was concerned with the increasing school cost for families with school aged children. The parent group was interested in understanding the relationship between the academic grade level for the child and the total costs spent per child per academic year. They performed a multiple regression analysis using total cost as the dependent variable and academic year (x1) as the independent variables. The multiple regression analysis produced the following tables.| Coefficients | Standard Error | t Statistic | p-value | |
| Intercept | 707.9144 | 435.1183 | 1.626947 | 0.114567 |
| x1 | 2.903307 | 81.62802 | 0.035568 | 0.971871 |
| x12 | 11.91297 | 3.806211 | 3.129878 | 0.003967 |
| df | SS | MS | F | p-value | |
| Regression | 2 | 32055153 | 16027577 | 47.34557 | 1.49E-09 |
| Residual | 27 | 9140128 | 338523.3 | ||
| Total | 29 | 41195281 |
For a child in grade 10 (x1= 10) the predicted value of y is ____________.
a) 707.91
b) 1,117.38
c) 856.08
d) 2,189.54
e) 1,928.24
Answer
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Related questions
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Q:
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5
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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:
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Q:
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A researcher is interested in estimating the difference in two population proportions. A sample of 400 from each population results in sample proportions of .61 and .64. A 90% confidence interval for the difference in the population proportions is _______.
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