Use a spreadsheet calculator to determine the least squares regression line for the points in the table. Round to the nearest hundredth if necessary.%0D%0A%0D%0A(1 point)%0D%0AResponses%0D%0A%0D%0Ay=5.55x−0.25%0D%0A%0D%0A=%0D%0A5.55%0D%0A%0D%0A−%0D%0A0.25%0D%0Ay equals 5.55 x minus 0.25%0D%0A%0D%0Ay=5.55x+0.25%0D%0A%0D%0A=%0D%0A5.55%0D%0A%0D%0A+%0D%0A0.25%0D%0Ay equals 5.55 x plus 0.25%0D%0A%0D%0Ay=0.25x−5.55%0D%0A%0D%0A=%0D%0A0.25%0D%0A%0D%0A−%0D%0A5.55%0D%0Ay equals 0.25 x minus 5.55%0D%0A%0D%0Ay=0.25x+5.55
To determine the least squares regression line for the points in the table using a spreadsheet calculator, you would input the data points into the calculator and then generate the regression line. The equation for the least squares regression line in this case is:
y = 5.55x - 0.25
Therefore, the response option is:
y = 5.55x - 0.25