Chapter 12. Simple Linear Regression and Correlation
12.1 The Simple Linear Regression Model 12.2 Fitting the Regression Line 12.3 Inferences on the Slope Parameter 1 12.4 Inferences on the Regression Line 12.5 Prediction Intervals for Future Response Val
Chapter 4 Mathematical Expectation
Chap 4 Mathematical Expectation
1
Means and Variance of Linear Combinations of Random Variables
Theorem 4.10: If X and Y are random variables with joint probability distribution f(x, y), then 2 2 2 aX +bY = a 2 X + b 2
Chapter 3 Random Variables and Probability Distributions
Chap 3 Random Variables and Probability Distributions
1
3.1 Concept of a Random Variable
Random variable: is a function that associates a real number with each element in the sample space. Example
LIMITS LIMITS
2
LIMITS
2.2
The Limit of a Function
In this section, we will learn: About limits in general and about numerical and graphical methods for computing them.
THE LIMIT OF A FUNCTION
Lets investigate the behavior of the
2
function f defined by f
LIMITS LIMITS
2
LIMITS
The idea of a limit underlies the various branches of calculus.
It is therefore appropriate to begin our study of calculus by investigating limits and their properties.
LIMITS
2.1
The Tangent and Velocity Problems
In this section,
LIMITS
LIMITS
The idea of a limit underlies the various branches of calculus.
It is therefore appropriate to begin our study of calculus by investigating limits and their properties.
LIMITS
2.1
The Tangent and Velocity Problems
In this section, we will le