What two approaches are their to testing the uncertainty around the true slope?

TRUE/FALSE A confidence interval around the slope gives a range of values with a given probability of including the true slope.

What does a 95% confidence interval say about the true slope?

What is the amount of uncertainty estimated by?

True/false The null hypothesis is the proposition that the true slope is one.

What does a slope of zero imply? (2)

What would support the null hypothesis?

What is a research hypothesis?

What criterion constitutes "infrequently by chance"? What is it referred to as?

When is a slope said to be statistically significant?

Which alpha percentage gives more leniency to a statistically significant number: 10% or 1%

In reference to the comparison between t(calc) and t(table), when is a slope significant

A correct positive

Power

Correct negative

false positive

A false positive is often called a Type One Error, what is the probability of making a type one error equal to?

false negative

a false negative decision is called a Type Two Error, what is it equal to?

True/false the steeper the slope, the weaker the effect of the independent variable

True/false the effect of an independent variable is not a function of sample size

Other things equal, how does a larger sample size affect the t-ratio and probabiliy

Give an example showing that the effect of an independent variable is not a function of sample size