Each table below lists the squared residuals for a line of fit for a certain set of data points. Find the sum of the squared res
iduals for each potential line of fit, and then determine which potential line is the true line of best fit.
c.) Square of Residual
.200
.116
.16
D) Square of Residual
.0036
.0016
.009
c.) Square of Residual
.200
.116
.16
D) Square of Residual
.0036
.0016
.009
1 answer:
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Answer:
x = -0.17 and x = -5.83
Step-by-step explanation:
We are asked to solve the quadratic equation
We use the quadratic formula using a = 1, b = 6 and c = 1
for a general quadratic equation of the form:
Then, the solutions are given by;
which produces the two following answers (rounded to two decimals):
x = -0.17 and x = -5.83
Answer:
They are skew lines.
Step-by-step explanation:
Which statement is true about lines a and b?
They are parallel lines.
They are perpendicular lines.
They are skew lines.
They will intersect.
As they both are in different directions they are skew lines .
Skew lines are not parallel neither they .They are also not co planar i.e they lie in different planes.
We have two plane Q and R . We have two line a and b on the different planes Q and R. Both planes are parallel but the lines a and b are in different directions. Therefore they are skew lines . They do not intersect and are also not parallel neither co planar.
