Following is a simple linear regression model:

y_i=0+1x_i+i

The following results were obtained from statistical software:

s_yx(regression standard error) = 5.976

SST = 2,018.73

n(total observations) = 30

Variable	Parameter Estimate	Std. Err. of Parameter Est.
Constant	-0.0082	0.0037
X	-0.0026	0.0011

The ordinary least squares (OLS) method of estimation means that one obtains the estimates of slope and intercept by finding the least value (s) of :

Group of answer choices

the slope only

the intercept only

both the slope and intercept

the sum of squared residuals