A straight line, expressed in the form y = a + bx , calculated to minimise the sum of the
squares of the residuals
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Regression line
, Adjusting the values of discrete variables to their upper and lower bounds when
approximating with a continuous distribution such as the normal distribution
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Continuity correction
This variable is observed/ measured by the researcher and is usually plotted on the y
axis of a scatter graph (and is represented by y in a regression equation)
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Response (dependent) variable
The set of all possible outcomes
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Sample space
Non-random sampling technique in which a sample is chosen by the researcher to
represent the characteristics of the whole population
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squares of the residuals
Give this one a try later!
Regression line
, Adjusting the values of discrete variables to their upper and lower bounds when
approximating with a continuous distribution such as the normal distribution
Give this one a try later!
Continuity correction
This variable is observed/ measured by the researcher and is usually plotted on the y
axis of a scatter graph (and is represented by y in a regression equation)
Give this one a try later!
Response (dependent) variable
The set of all possible outcomes
Give this one a try later!
Sample space
Non-random sampling technique in which a sample is chosen by the researcher to
represent the characteristics of the whole population
Give this one a try later!
