02 Regression Flashcards
What gives a smaller Confidence Interval?
Random error (chance) can be controlled
by β¦
Coefficient of Determination
R2 measures the proportion of the variation in π¦ that is explained by the variation in π₯:
Larger sample size, Smaller Std deviation, Smaller Confidence level
statistical significance or by confidence interval
Explained SS/ TSS
π‘-Tests
Formula is slightly different for each:
* Single sample:
β¦
* Paired samples:
β tests the relationship between 2 linked samples, e.g., means obtained in
2 conditions by a single group of participants
* Independent samples:
β¦
β tests whether a sample mean is significantly different from a pre-existing value
β tests the relationship between 2 independent populations
Selected Statistical Tests
Parametric Tests
* the family of π‘-tests: compares two sample means or tests a single sample mean * F-test: β¦
Non-parametric Tests
* Wilcoxonβ¦
* Mann-Whitney-U test is used forβ
* Kruskal-Wallis-Test for β¦
Tests of the Probability Distribution
* Kolmogorov-Smirnov and Chi-square test: used to determine whetherβ¦
compares the equivalence of variances of two samples
signed-rank test for 2 paired i.i.d samples
2 independent i.i.d samples
several i.i.d non-normally distributed samples
two underlying probability distributions differ, or whether an underlying probability distribution differs from a hypothesized distribution
Adjusted R2
* It represents the proportion of variability of π¦ explained by π.
R2 is adjusted so that models with a different number of variables can be compared:
F-test
* Significant F indicatesβ¦
The t-test of each partial regression coefficient
* Significant t indicates that the β¦
1- RSS/(n-p-1) over TSS/(n-1)
a linear relationship between π¦ and at least one of the xβs: H:π½=π½=β―=π½=0
variable in question influences the response
variable while controlling for other explanatory variables.
Backward/Fwd selection as subset selection