Statistique Et Méthodologie De La Recherche Test

In regression analysis, the variable that is being predicted is the:

51. What is the slope of the line y = -3.4x – 2.5?

If the coefficient of determination is 0.81, the correlation coefficient:

Which of the following are examples of continuous variables?

Which of the following requirements for a scientific report writing may depend on your
institution (EXCEPT ONE)?

Correlation and regression are concerned with ?

Quantitative data refers to:

If there is a very strong correlation between two variables then the correlation coefficient must
be:

When the p-value is greater than 0.05 we can conclude that:

The two forms of t-test are:

The value we would predict for the dependent variable when the independent variables are all
equal to zero is called:

Scatter diagram is considered for measuring :

The step in the data analysis process is (EXCEPT ONE):

If the slope of the regression equation y = bo + b1x is positive, then

Two variables have a positive association when?

The difference between regression analysis and correlation analysis is (except one):

The regression equation always passes through:

A scatterplot is a ?

In simple linear regression, the numbers of unknown constants are:

If the value of any regression coefficient is zero, then two variables are:

The graph showing the paired points of (Xi, Yi) is called:

The predicted rate of response of the dependent variable to changes in the independent variable
is called:

In simple regression equation, the numbers of variables involved are:

Inferential statistics enable you to :

What does it mean when you calculate a 95% confidence interval?

To compare two means we use:

In regression analysis, if the independent variable is measured in kilograms, the dependent
variable:

Which of the following statements is true regarding a sample?

In simple linear regression model Y = α + βX + ε where α and β are called

R2 is used in regression analysis to:

The coefficient of correlation

The null hypothesis states the means are:

My estimated regression line is Y = 17 + 4X. The intercept is equal to:

A procedure used to select a sample of n objects from a population in such a way that each
member of the population is chosen strictly by chance, each member of the population is equally
likely to be chosen, and every possible sample of a given size, n, has the same chance of selection
is known as:

When correlation coefficient is 1, all the points in a scatter diagram would lie?

The degree of linear association between two metric scaled variables is measured by:

In correlation both variables are always?

1. The method of least squares dictates that we choose a regression line where the sum of the
square of deviations of the points from the lie is:

Correlation analysis aims at :

Correlation analysis is used to:

Inferential statistics is a process that involves all of the following EXCEPT:

To investigate the association between two categorical variables we use:

An example of an experimental study is a(n):

In the regression equation y = bo + bx, bo is the

If the coefficient of determination is equal to 1, then the correlation coefficient:

A coefficient of correlation is computed to be -0.95 means that

The coefficient of determination (sometimes known as the regression coefficient) enables you to:

The total variation explained by a regression model is given by:

An r value of 0.80 indicates:

In the regression equation Y = a+bX, the Y is called

if the correlation coefficient r = 0.5 then the coefficient of determination is?

The purpose of simple linear regression analysis is to:

The mean, median, mode and standard deviation are examples of:

The coefficient of determination (r2) is

When the p-value is less than 0.05 we can conclude that:

To compare three independent means we use: