Question

The regression line for an Olympic event is given. When a student predicts the time it will take to complete the event in the 2400 Olympics, they notice the time is equal to a negative value. Since the race cannot start before it begins, we can conclude that this is an example of what?

Simpson’s Paradox
Lurking Variables
Confounding Variables
Extreme Extrapolation

Answer 1

@amistre64

Answer 2

@TheSmartOne

Answer 3

i dont know those defnitions, so youll have to provide them

Answer 4

give me a second

Answer 5

simpsons paradox: a trend that appears in different groups of data disappears or reverses when these groups are combined
extreme expolation: estimate or arrive at a conclusion based on known facts or observations.
variable that is not included as an explanatory or response variable in the analysis but can affect the interpretation of relationships between variables
confounding: an extraneous variable in a statistical model that correlates (directly or inversely) with both the dependent variable and the independent variable.

Answer 6

well, now which one are you leaning towards?

Answer 7

either the confounding or lurking variable i just don't know which

Answer 8

im leaning towards extreme extrapolation .... the regression model is not a precise fit, its a good estimation for short periods of time.

but since im not familiar with the definitions, not seen examples before i cant be certain.

Answer 9

these wordy problems have never been my forte

Answer 10

thats ok! could you help with a different questions? i have like 3 multiple choice ones i need help on

Answer 11

@amistre64

Answer 12

@satellite73

Answer 13

if its wordy like this, then i prolly wont be of any good use