When all the points on a scatterplot lie on a straight line, you have what is called a perfect correlation between the two variables.

It is the probability of rejecting the null hypothesis when it is false.

It gives us a more precise measurement of the relationship between the two variables. 

The alternative hypothesis states that there is no difference between the hypothesized population mean and the sample mean.

It is an index that describes the relationship and can take on values between 1.0 and +1.0, with a positive correlation coefficient indicating a positive correlation and a negative correlation coefficient indicating a negative correlation.

As the confidence interval for a given statistic increases in length, the confidence level increases.

It provides the general framework of what we are testing and how to perform the test.

The null hypothesis is false and we reject it.

It is the range of possible values.

The value of a perfect negative correlation is ______.