Topic 3

40問 • 1年前

Mikyii

通報

問題一覧

_____________ is a statistical method used to determine whether a relationship between variables exist.

Correlation

A ____________ is sometimes written as one-word, scatterplot is also called scatter graph or scatter diagram.

scatter plot

A _____________ shows how each point collected from a set of bivariate data are scattered on the Cartesian plane, it gives a good visual picture of the ____ variables which helps in finding the relationship that exists between the two variables.

scatter plot, two

A ______________ is a graphical representation of the relationship between two variables.

scatter plot

_______________ is a useful tool for checking the assumptions in a regression analysis

scatter diagram

Scatter diagram is a useful tool for checking the assumptions in a ___________ analysis

regression

It can be viewed during an initial screening run of the analysis or after the analysis.

Scatterplot

Scatter plot can be viewed during an ________ screening run of the analysis or _______ the analysis.

initial, after

The benefit of looking at scatter diagram residuals in the ____________ stages of an analysis is that it may save a researcher time.

beginning

Scatter plot : If the assumptions are _____ met, further screening must be applied ___________ the analysis can be completed and data may require cleansing and transformation.

not, before

In this case, the researcher is not running analysis haphazardly. For instance, the assumptions are met, the regression is ready to be run and the researcher has ____________ confidence that the chances of making a Type I or Type II error are _________ ultimately improving the accuracy of any research results.

increased, reduced

The direction of correlation maybe __________, ___________or ______

positive, negative, zero

A __________ correlation exists when high values of one variable correspond to high values in the other variable or low values in one variable correspond to low values in the other variable

positive

A positive correlation exists when _____ values of one variable correspond to ______ values in the other variable or _____ values in one variable correspond to ____ values in the other variable.

high, high, low, low

A __________ correlation exists when high values in one variable correspond to low values in the other variable or low values in one variable correspond to high values in theother variable.

negative

A negative correlation exists when _____ values in one variable correspond to _____ values in the other variable or ____ values in one variable correspond to _____ values in theother variable.

high, low, low, high

A ______ correlation exists when high values in one variable correspond to either high or low values in the other variable.

zero

A zero correlation exists when high values in one variable correspond to _______ high or low values in the other variable.

either

The strength of correction may be ________, very high, moderately high, moderately low, very low and zero.

perfect

Pearson product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the _________ related variables.

linear

__________ product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the linear related variables.

Pearson

The ___________ correlation would require both variables to be normally distributed.

Pearson r

__________ refers to the departure of two random variables from independence.

Correlation

The Pearson r correlation would require _____ variables to be normally distributed. Correlation refers to the departure of ____ random variables from _____________.

both, two, independence

__________ correlation is used to measure the degree of relationship between the two products.

Pearson r

The ___________ is defined as the covariance divided by the standard deviations of the variables

correlation coefficient

The correlation coefficient is defined as the covariance ________ by the standard deviations of the variables.

divided

Pearson’s product-moment correlation coefficient or simply correlation coefficient (or _____________) is a measure of the ________ strength of the association between ___ variables.

Pearson's r, linear, two

It is founded by Karl Pearson.

Pearson's r

The value of the correlation coefficient varies between ____ and _____. When the value of the correlation coefficient lies around _____ then it is said to be a perfect degree of association between the two variables.

-1, +1, ±1, perfect

As the value of the correlation coefficient goes closer to ______ the relationship between the two variables will be _______

zero, weaker

no correlation, no relationship

0.00

very low correlation, almost negligible relationship

±0.01 - ±0.20

slight correlation, definite but small relationship

±.0.21-±0.40

moderate correlation, substantial relationship

±0.41-±0.70

high correlation, marked relationship

±0.71-±0.90

very high correlation, very dependable relationship

±0.91-±0.99

perfect correlation, perfect relationship

1.00

The test for correlation coefficient is ______-tailed; the __________ region is divided into ____ equal parts

two, rejection, two

The test of ___________ is two-tailed; the rejection region is divided into two equal parts

correlation

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Topic 2.2 - 2.3

Topic 2.2 - 2.3

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Topic 1 - 1.2

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Topic 1.4 - 1.5

Topic 2.1 - 2.2

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Topic 2.6 - 2.7

Topic 3.1

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Topic 1

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Topic 2

Topic 2 : Unemployment

Mikyii · 32問 · 1年前

Topic 2 : Unemployment

Topic 2 : Inflation

Topic 2 : Inflation

Topic 3

Topic 3

Topic 3 : Part 2

Topic 3 : Part 2

Topic 4

Topic 4

Topic 1

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Topic 1.2

Topic 1.2

Topic 1.2

Topic 1.2

Topic 2

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Topic 4

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Topic 1

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Topic 2.1

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Topic 2.4

Topic 2.4

Topic 3

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Topic 3.2

Topic 3.2

Topic 3.8

Topic 3.8

Topic 3

Topic 3

Dates to Remember

Dates to Remember

Allusion of El Filibisterismo to Real Life

Mikyii · 38問 · 1年前

Allusion of El Filibisterismo to Real Life

Topic 1

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LIQUIDITY RATIOS

LIQUIDITY RATIOS

ASSET MANAGEMENT RATIOS

Mikyii · 8問 · 1年前

ASSET MANAGEMENT RATIOS

LEVERAGE RATIO

LEVERAGE RATIO

PROFITABILITY RATIO

PROFITABILITY RATIO

GROWTH RATIO

GROWTH RATIO

問題一覧

_____________ is a statistical method used to determine whether a relationship between variables exist.

Correlation

A ____________ is sometimes written as one-word, scatterplot is also called scatter graph or scatter diagram.

scatter plot

scatter plot, two

A ______________ is a graphical representation of the relationship between two variables.

scatter plot

_______________ is a useful tool for checking the assumptions in a regression analysis

scatter diagram

Scatter diagram is a useful tool for checking the assumptions in a ___________ analysis

regression

It can be viewed during an initial screening run of the analysis or after the analysis.

Scatterplot

Scatter plot can be viewed during an ________ screening run of the analysis or _______ the analysis.

initial, after

The benefit of looking at scatter diagram residuals in the ____________ stages of an analysis is that it may save a researcher time.

beginning

Scatter plot : If the assumptions are _____ met, further screening must be applied ___________ the analysis can be completed and data may require cleansing and transformation.

not, before

increased, reduced

The direction of correlation maybe __________, ___________or ______

positive, negative, zero

A __________ correlation exists when high values of one variable correspond to high values in the other variable or low values in one variable correspond to low values in the other variable

positive

A positive correlation exists when _____ values of one variable correspond to ______ values in the other variable or _____ values in one variable correspond to ____ values in the other variable.

high, high, low, low

A __________ correlation exists when high values in one variable correspond to low values in the other variable or low values in one variable correspond to high values in theother variable.

negative

A negative correlation exists when _____ values in one variable correspond to _____ values in the other variable or ____ values in one variable correspond to _____ values in theother variable.

high, low, low, high

A ______ correlation exists when high values in one variable correspond to either high or low values in the other variable.

zero

A zero correlation exists when high values in one variable correspond to _______ high or low values in the other variable.

either

The strength of correction may be ________, very high, moderately high, moderately low, very low and zero.

perfect

Pearson product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the _________ related variables.

linear

__________ product-moment correlation is the most widely used in statistics to measure the degree of the relationship between the linear related variables.

Pearson

The ___________ correlation would require both variables to be normally distributed.

Pearson r

__________ refers to the departure of two random variables from independence.

Correlation

The Pearson r correlation would require _____ variables to be normally distributed. Correlation refers to the departure of ____ random variables from _____________.

both, two, independence

__________ correlation is used to measure the degree of relationship between the two products.

Pearson r

The ___________ is defined as the covariance divided by the standard deviations of the variables

correlation coefficient

The correlation coefficient is defined as the covariance ________ by the standard deviations of the variables.

divided

Pearson’s product-moment correlation coefficient or simply correlation coefficient (or _____________) is a measure of the ________ strength of the association between ___ variables.

Pearson's r, linear, two

It is founded by Karl Pearson.

Pearson's r

-1, +1, ±1, perfect

As the value of the correlation coefficient goes closer to ______ the relationship between the two variables will be _______

zero, weaker

no correlation, no relationship

0.00

very low correlation, almost negligible relationship

±0.01 - ±0.20

slight correlation, definite but small relationship

±.0.21-±0.40

moderate correlation, substantial relationship

±0.41-±0.70

high correlation, marked relationship

±0.71-±0.90

very high correlation, very dependable relationship

±0.91-±0.99

perfect correlation, perfect relationship

1.00

The test for correlation coefficient is ______-tailed; the __________ region is divided into ____ equal parts

two, rejection, two

The test of ___________ is two-tailed; the rejection region is divided into two equal parts

correlation