Statistique Et Méthodologie De La Recherche Test

Quantitative data refers to:

A discrete variable is:

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

If you have 20 pairs of subjects what would be the degrees of freedom for a test of correlation
between the groups of scores?

Negative regression coefficient indicates that the movement of the variables are in:

In correlation both variables are always?

Computers are essential for quantitative data analysis because?

The measure of how well the regression line fits the data is the:

If the correlation coefficient is 0.8, the percentage of variation in the response variable explained
by the variation in the explanatory variable is:

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

The coefficient of determination (r2) is

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

Because of the possibility of error in sampling from populations, researchers use:

The straight line graph of the linear equation Y = a + bX, slope will be downward If:

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

The slope of the regression line of Y on X is also called the:

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

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

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

Which of these is not one of the four main reasons for missing data?

The signs of regression coefficients and correlation coefficient are always:

The strength (degree) of the correlation between a set of independent variables X and a dependent variable Y is measured by

If the plotted points in a scatter diagram lie from upper left to lower right, then the correlation
is :

Method is used to infer that the results from a sample are reflective of the true population
scores. ?

Inferential statistics enable you to (Except one):

If a researcher conducts a study in which the reading ability of a class of 20 second graders is
tested at the beginning and at the end of the year, the appropriate statistical procedure to
analyze the results would be:

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

To compare three independent means we use:

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

When the two regression lines are parallel to each other, then their slopes are:

If the correlation coefficient is a positive value, then the slope of the regression line:

If the value of regression coefficient is zero, then the two variable are called:

R2 is used in regression analysis to:

The term regression was used by:

Inferential statistics enable you to :

If all the values fall on the same straight line and the line has a positive slope then what will be
the value of the correlation coefficient ‘r’:

The range of regression coefficient is:

If the plotted points in a scatter diagram are evenly distributed, then the correlation is :

In regression, the equation that describes how the response variable (y) is related to the
explanatory variable (x) is:

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

If regression line of Y= 5, then value of regression coefficient of Y on X is:

Internal “validity” refers to:

Inferential statistics enable you to :

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

To investigate the association between two categorical variables we use:

The value of the coefficient of determination (r2) ranges between

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

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

The purpose of simple linear regression analysis is to:

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

2. A relationship where the flow of the data points is best represented by a curve is called:

An alternative to statistical techniques for analysis of data to find patterns and trends is?

To compare two means we use:

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

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

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

If two variables, x and y, have a very strong linear relationship, then: