stats 8 Flashcards
slope (m)=
rise/run
Rise
The change in y for a given change in x
Run
The change in x. It represents how much x increases or decreases,
which is typically by one unit when calculating the slope
in statistics, a parameter is
the value of an unknown population
characteristic
population regression line
the value of the dependent variable (y) is conditional on one or more independent variable
the population regression line is interpreted as
the baseline or starting point of the dependent variable
intercept
alpha
slope
beta
stochastic component
sample regression model
if u know alpha and beta you can predict value of y
parameter estimates
systematic components
explains predictable relationship between ind and dep relationship
OLS regression
goodness-of-fit
root mean-squared error (RMSE)
model sum of squares
confidence intervals
t-ratio
For OLS (Ordinary Least Squares) to produce unbiased and reliable estimates, a certain set of assumptions must be met
- normality of the error terms,
- no bias in the error term,
- homoscedasticity (constant variance of errors),
- no autocorrelation,
- X values are measured without errors,
- no omitted or unnecessary variables included in the model,
- parametric linearity,
- X must vary, and
- the sample size must exceed the number of parameters (variables) in the model (n > k).
multiple regression model
we are able to control for another variable (Z) as we measure the relationship between our independent variable of interest and our dependent variable
two variable regression model
a line is fit to a scatterplot of data
the line in a two variable regression model is defined by its __ and serves as __
slope and y-intercept, a statistical model of reality
how is two variables regression and three hypothesis-testing different
although they allow hypothesis testing, they don’t produce a statistical model
the two elements (m and b) are described as the line’s
parameters