homework4new

The Basic Practice of Statistics w/CD-ROM

Info iconThis preview shows pages 1–2. Sign up to view the full content.

View Full Document Right Arrow Icon
5.34) A) data a y= .5001x +  3.001 data b y = .5x + 3.009 data c y = .4997x + 3.025 data d y = .4999x + 3.0017 corr .816 corr  .816 B) corr .816  corr .816 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 f(x) = 0.5x + 3 data A 2 4 6 8 10 12 14 16 0 1 2 3 4 5 6 7 8 9 10 f(x) = 0.5x + 3 data b Column B Linear Regression for Column B 2 4 6 8 10 12 14 16 0 2 4 6 8 10 12 14 f(x) = 0.5x + 3 data c 12 14 f(x) = 0.5x  + 3 Data d
Background image of page 1

Info iconThis preview has intentionally blurred sections. Sign up to view the full version.

View Full DocumentRight Arrow Icon
C)  for data D I would use a regression line to describe the dependence of y on x  because when there is an outlier on a graph it directly affects how a regression 
Background image of page 2
This is the end of the preview. Sign up to access the rest of the document.

Unformatted text preview: line will go. 5.36) a) b) Yes, both of these are important to the correlation because they determine how much variance there will be if a straight line was drawn through it. the linear relationship is stronger w/o subj. 18 and is weaker w/o subj. 15 6 8 10 12 14 16 18 20 2 4 6 8 10 C olumn B Linear Regres sion for Column B HbA %...
View Full Document

Page1 / 2

homework4new - line will go. 5.36) a) b) Yes, both of these...

This preview shows document pages 1 - 2. Sign up to view the full document.

View Full Document Right Arrow Icon
Ask a homework question - tutors are online