Jordan uses a linear equation to model the data in a tableWhich reasoning might Jordan have used in the decision to model the data with a linear equation?

Scatter Plot

Step-by-step explanation:

Scatter plot is a statistical diagram, depicting data points of two interdependent variables. The plot helps in viewing & interpreting the co relation between two variables.

Correlation is a statistical concept of co movement relationship between two variables. It signifies two variables varying in similar or opposite direction.

The shape of scatter plot can help determining whether the variables have a a linear equation model or not. Jordan must have done the same i.e analysed the scatter plot for determining linear model. If the scatter plot seems to show points scattered near a line like pattern, the variables can be said to be correlated as per linear equation model. So, Jordan might have given this reason to decide using linear equation model

no association

step-by-step explanation:

if you have eyes and you can use them efficiently you can see that it just looks like random dots like do a line of best fit and like they're so spread out it's such a weak association you might as well consider it nonexistent