Regression, correlation and hypothesis testing Flashcards
y = ax^n
logy = log(ax^n)
= loga+ logx^n
= loga = nlogx
y = kb^x
log y = log(kb^x)
= logk + logb^x
= logk + xlogb
Reason for regression lines
to model a linear relationship from an exponential one
Product moment correlation coefficient
described the linear correlation between two relationships
-1 < r < 1
r=1
perfect positive linear correlation
r= -1
perfect negative linear correlation
r= 0 (or close to)
no linear correlation
interpolation
calculating inside the data range
extrapolation
- calculating outside the data range
- not reliable
One tailed test
H0 : ρ = 0
H1: ρ > or < 0
Two tailed test
H0 : ρ = 0
H1: ρ ≠0
Interpretation of a
Constant of proportionality
Interpretation of b
Proportional rate of which … will change per …
Critical value
- point on the scale of the test statistic
- beyond which null hypothesis is rejected
Hypothesis test
- statistical test
- determines whether there is enough evidence
- infer a certain condition is true for entire population