**Name: ** __
__ **Score: **
__ __

Answer Completely. |
Some calculations are required. |

Due Wed., July 20, 2005, 10:30:00.000, EDT. |
Due on the teacher's desk in BH114. |

- (2 points) Calculate the regression coefficient (slope)
and regression constant (intercept) for the data set in
lesson 5 with
*x*the total test scores and*y*the page 1 test scores, clearly using the formulae from the notes. - (2 points) Calculate the regression equation
for the data set in homework 5
with
*x*the page 4 test scores and*y*the total test scores, clearly using Hinkle formulae 6.2 and 6.3. For ease in reference, the various sums are as follows:*x*= 127;*y*= 762;*xy*= 11954; and*x*^{2}= 2264. - (2 points) Assume someone wanted to challenge the class and
page 4 was used as part of an exam for this determination.
Assume further that this student obtained a score of 9 on this page.
Use the regression formula calculated in the problem above
and predict the corresponding total score for test 1.
- (2 points) Using Hinkle formula 6.6 calculate a standard
score for the predicted score above using the
standard score for 9. You will first have to calculate
a
*z*-score for 9 using the mean of 14.1 and standard deviation of 7.72.*r*= .930. - (2 points) Calculate the
**standard error of estimate**for the homework 5 data using both Hinkle equation 6.11 and 6.12. How large is the error caused by omitting the small sample correction factor? - (2 bonus points)
Find 10 words (minimum length of 4) using only the letters from the word
**homoscedasticity**.

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- URL: http://www.andrews.edu/~calkins/math/edrm611/edrm06hw.htm
- Copyright ©1998-2005, Keith G. Calkins. Revised on or after July 19, 2005.