Section 2
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chapter 6 Section 1 & 2 Summary FINAL REVIEW 1 FINAL 2
44 terms 35 terms 53 terms 39 terms
susana_aramburo Preview susana_aramburo Preview susana_aramburo Preview sus
Practice questions for this set
Learn 1 /7 Study with Learn
It shows whether something is generally increasing, decreasing, or staying
the same over time
Choose an answer
1 Single Linear Regression Analysis 2 trend
3 independent variable 4 Ordinary Least Squares (OLS) regression
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Terms in this set (62) Hide definitions
Single Linear Regression Analysis statistical method used to model and quantify the relationship between a
dependent variable and one independent variables
, What linear regression answers How does X affect Y?
By how much does Y change when X changes?
Can we predict Y given values of X?
Linear regression estimates an equation of the form: Y = a + bX
Single linear regression uses only one x to predict one Y
Ordinary Least Squares (OLS) regression how far line is from data points- the residual is the distance from the data point to
the line
Regression determines is there is a significance difference between X and Y
What significance tells you tells you whether an observed result is likely real or just due to random chance.
How significance is measured Through a p-value
p ≤ 0.05 → statistically significant
p > 0.05 not statistically significant
What statistical significance shows That an effect likely exists
statistically significant The data provide enough evidence to reject the null hypothesis.
independent variable (x) the variable that is manipulated to see its effect in Y
dependent variable (y) the variable that changes in response to the independent variable
Sample Size Number of observations in a sample.
Leave the first rating
Save Groups
Students also studied
Flashcard sets Study guides
chapter 6 Section 1 & 2 Summary FINAL REVIEW 1 FINAL 2
44 terms 35 terms 53 terms 39 terms
susana_aramburo Preview susana_aramburo Preview susana_aramburo Preview sus
Practice questions for this set
Learn 1 /7 Study with Learn
It shows whether something is generally increasing, decreasing, or staying
the same over time
Choose an answer
1 Single Linear Regression Analysis 2 trend
3 independent variable 4 Ordinary Least Squares (OLS) regression
Don't know?
Terms in this set (62) Hide definitions
Single Linear Regression Analysis statistical method used to model and quantify the relationship between a
dependent variable and one independent variables
, What linear regression answers How does X affect Y?
By how much does Y change when X changes?
Can we predict Y given values of X?
Linear regression estimates an equation of the form: Y = a + bX
Single linear regression uses only one x to predict one Y
Ordinary Least Squares (OLS) regression how far line is from data points- the residual is the distance from the data point to
the line
Regression determines is there is a significance difference between X and Y
What significance tells you tells you whether an observed result is likely real or just due to random chance.
How significance is measured Through a p-value
p ≤ 0.05 → statistically significant
p > 0.05 not statistically significant
What statistical significance shows That an effect likely exists
statistically significant The data provide enough evidence to reject the null hypothesis.
independent variable (x) the variable that is manipulated to see its effect in Y
dependent variable (y) the variable that changes in response to the independent variable
Sample Size Number of observations in a sample.
