C957 LATEST UPDATE 2026- CQUESTIONS
AND ANSWERS | RATED 100% CORRECT!!
Constant e
2.71828
slope-intercept formula
y = mx + b
L+m
the upper limit of a logistic function equation
m
the lower limit of a logistic equation
k
rate of increase for a logistic equation
C
start of increase for a logistic equation
linear
function that is a straight line
polynomial
function with curves and no asymptote
0.7-1.0
, r^2-value showing a strong correlation
0.3-0.7
r^2-value showing a moderate correlation
0.0-0.3
r^2-value showing a weak correlation
outlier
a data point which is distinctly separate from all others within a data set for reasons beyond the
data
coefficient of determination
rating how well the function fits the real world data
r^2
coefficient of determination
regression equation
best fit equation for a set of real world data
Concave up
y = x^2
Concave down
y = -x^2
inflection point
AND ANSWERS | RATED 100% CORRECT!!
Constant e
2.71828
slope-intercept formula
y = mx + b
L+m
the upper limit of a logistic function equation
m
the lower limit of a logistic equation
k
rate of increase for a logistic equation
C
start of increase for a logistic equation
linear
function that is a straight line
polynomial
function with curves and no asymptote
0.7-1.0
, r^2-value showing a strong correlation
0.3-0.7
r^2-value showing a moderate correlation
0.0-0.3
r^2-value showing a weak correlation
outlier
a data point which is distinctly separate from all others within a data set for reasons beyond the
data
coefficient of determination
rating how well the function fits the real world data
r^2
coefficient of determination
regression equation
best fit equation for a set of real world data
Concave up
y = x^2
Concave down
y = -x^2
inflection point