Bloom Code Studio

Bloom Code Studio

Chapter Review

Linear Equations The most basic type of association is a linear association. This type of relationship can be defined algebraically by the equations used, numerically with actual or predicted data values, or graphically from a plotted curve. (Lines are classified…

Linear Equations

Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bxy=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Another way to think about this equation is…

Introduction

Figure 13.1 Linear regression and correlation can help you determine if an auto mechanic’s salary is related to his work experience. (credit: modification of work “USPS commissions local repair-shop for some needed work on its older trucks” by Joshua Rothhaas/ Flickr, CC…

Chapter Review

Test of Two Variances The F test for the equality of two variances rests heavily on the assumption of normal distributions. The test is unreliable if this assumption is not met. If both distributions are normal, then the ratio of the two…