Question

**What does statistical significance of an independent
variable mean? Why does it matter? **

Answer #1

Independent variable is very important in the determination of
conceptual data.

Independent variable is a factor which cannot be affected by any
other variable

The fluctuation in the independent variable is very less so the
consistency level is high.

Independent variable is a good factor to present specific
data.

It is helpful in the cause and effect relationship in
economics.

With the help of the independent variable, it is easy to trace the
values of other variables.

It is helpful in major research projects and the process.

Independent variable is an important factor in the framing of
economic policies.

Regression:
It DOES NOT matter which is the explanatory/independent variable
and which is the response/dependent variable for ____, but it DOES
matter for ____.

what do significance levels and P values mean in hypothesis tests?
what is statistical significance anyway?

Why does the voting matter?

Does the direction of a solenoid matter? Why or why not?

For the purposes of testing for a correlation, does it matter
which variable is labeled X and which is labeled Y?
A. No it does not matter; the estimate of a correlation (and
correlation test) is symmetric.
B. Yes, it does matter; the strength of the correlation (and the
result of the correlation test) will depend on which you variable
you pick as the explanatory variable.

What does it mean to have a frequency as a variable? Why do we
want frequency as a variable? How is this accomplished?

Why
does decreasing the SD of the Independent Variable in a linear
regression model increase the sample sizs?

Why does inflation adjustment matter?

What would be the best statistical analysis/test to measure the
prediction of one independent variable on two dependent variables?
My IV is leadership behaviors while my DVs are the performance and
productivity of workers. The research method is quantitative.

In a test of statistical significance, what does the
p-value tell us?
A. if the null hypythesis is true
B. if the alternative hypothesis is true
C. the largest level of significance at which the null hypothesis
can be rejected
D. the smallest level of significance at which the null hypothesis
can be rejected.
Please explain exactly what the p-value is as I'm
having trouble understanding it. thanks

ADVERTISEMENT

Get Answers For Free

Most questions answered within 1 hours.

ADVERTISEMENT

asked 3 minutes ago

asked 3 minutes ago

asked 21 minutes ago

asked 30 minutes ago

asked 52 minutes ago

asked 1 hour ago

asked 1 hour ago

asked 1 hour ago

asked 2 hours ago

asked 3 hours ago

asked 3 hours ago

asked 3 hours ago