In a newspaper article written in the Chicago Tribune on September 29, 2002, it was claimed that
Question:
(a) The least-squares regression line between length, y, and income, x, is y-hat = -0.0102 x + 7.11. Interpret the slope of this regression line. Does it make sense to interpret the y-intercept? If so, interpret the y-intercept.
(b) Predict the length of the school day for a district in which 20% of the population is low income by letting x = 20.
(c) This same article included average Prairie State Achievement Examination (PSAE) scores for each district. The article implied that shorter school days result in lower PSAE scores. The correlation between PSAE score and length of school day is 0.517. A scatter diagram treating PSAE as the response variable is shown next. Do you believe that a longer school day is positively associated with a higher PSAE score?
(d) The correlation between percentage of the population that is low income and PSAE score is -0.720. A scatter diagram treating PSAE score as the response variable is shown next. Do you believe that percentage of the population that is low income is negatively associated with PSAE score?
Fantastic news! We've Found the answer you've been seeking!
Step by Step Answer:
Related Book For
Question Posted: