Week Four Flashcards

(19 cards)

0
Q

Define the independent/explanatory variable

A

The variables which explain or predict performance of the outcome.

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1
Q

Define the dependent variable.

A

The outcome variable, its value depends on the input.

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2
Q

Define the constant

A

A combination of different constants.

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3
Q

What type of data do bar or column charts graph?

A

Categorical or the means for different groups

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4
Q

What type of data do line graphs chart?

A

Temporal or time series data

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5
Q

What type of data do histograms graph?

A

Continuous data only

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6
Q

What do box plots graph?

A

The median, the interquartile range and outliers to compare them.

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7
Q

Define correlation

A

The degree and direction of relatedness between two variables.

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8
Q

What is the correlation coefficient (r)?

A

The degree to which two sets of numbers go together and the strength of the association. We can calculate if we have values for two variables.

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9
Q

If r is positive what direction is the association?

A

The association is in the same direction.

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10
Q

If r is negative what direction is the association?

A

The association is in opposite directions.

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11
Q

What is coefficient of determination (r-squared)?

A

The proportion of the variance of one variable predictable from the other variable. It is the square of r.

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12
Q

What does r-squared = 100% tell us about the variation of the variables?

A

That the line of best fit passes exactly through every point.

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13
Q

What would we say if r-squared = 0.8 or 80%?

A

80% of the variation in y can be explained by the linear relationship between x and y, as described by the regression equation.

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14
Q

What is Spearman’s rho or p?

A

Used to examine the association of ordinal variables. We can use p where the relationship is nonlinear and monotonic.

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15
Q

Define alpha

A

The alpha is the likelihood of being incorrect when we say that our sample reflects a relationship in the population.

16
Q

What is the typical alpha level set as?

A

0.05 or 95% level of confidence.

17
Q

What do we do if the p-value is greater than the alpha?

A

If the p-value is larger than the alpha then we assume that the correlation occurred by change so we accept the null hypothesis of no relationship between the variables.

18
Q

What does the p-value denote?

A

The p-value denotes the probability that the correlation occurred by chance.