Now you see when you use a model it is harder kepause........
Answer:
<em>In statistics, linear regression is a linear approach to modelling the relationship between a scalar response (or dependent variable) and one or more explanatory variables (or independent variables). The case of one explanatory variable is called simple linear regression. For more than one explanatory variable, the process is called multiple linear regression. This term is distinct from multivariate linear regression, where multiple correlated dependent variables are predicted, rather than a single scalar variable.</em>
In order to develop an equation, let's use the slope-intercept form of the linear equation:
Using the points (3, 13.5) and (5, 18.5) from the table, we have:
Subtracting the second and the first equation:
Now, finding the value of b:
So the equation that represents this table is y = 2.5x + 6
Looking at the options, the correct one is E (none of the above).
The answer is one third or 1/3 multiply diagonal both ways and then multiply denominators
