me, myself and I

Question 1

different between the dependent (response) variable and independent (explanatory)

Answer 1

dependent x-axis - remains the same eg sex
independent y-axis- variable that is changed eg height

Question 2

factors vs covariate

Answer 2

factor - qualitative data (observed)
covariate- quantitative (number)

Question 3

importance of a confidence interval and how to read it

Answer 3

to consider the validity of your p values and statistical tests.
the narrower the interval the more precise is our estimate.
as sample increases, the interval becomes more narrow

Question 4

what x- squared (chi squared output) shows and how to read it

Answer 4

measured the expectations to the observed data. smaller value hint towards there being no difference between groups.
x- sqaured= 0 means two data sets are identitical.

Question 5

T- test output meaning and how to read it

Answer 5

determines if there is a significant difference between the means of two groups and how they are related.
1 or close to it supports null hypothesis.

Question 6

importance of adjusted R2 and how to read it?

Answer 6

explains the variance of whole population data. if the value is close to 1 it shows the variance well.
R2= 0.002 = 0.2% little of left foot size is explained by age.
the value goes from 0-1.

Question 7

describe regression modelling and how to read it

Answer 7

describes relationship between response variable and explanatory variable (s).
y=mx+c
y= what we are measuring
m= slope under estimate variables
x= x axis
c= y intercept under estimate intercept