Statistique Et Méthodologie De La Recherche Test

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:

When there is no linear correlation between two variables, what will the value of r be?

A scatter plot?

The correlation coefficient, r, can take on any value within what range?

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

To compare three independent means we use:

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

If a study is “reliable”, this means that:

A process by which we estimate the value of dependent variable on the basis of one or more
independent variables is called:

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

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

If Y = 2 – 0.2X, then the value of Y intercept is equal to:

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

A statistical technique that develops an equation that relates a dependent variable to one or
more independent variables is called:

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

Inferential statistics are useful for:

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

Quantitative data refers to:

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

A qualitative variable:

The mean of a sampling distribution of a sample statistic is called :

Computers are essential for quantitative data analysis because?

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

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

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

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

The coefficient of determination (r2) is

Which of the following are examples of continuous variables?

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

If all the plotted points in a scatter diagram lie on a single line, then the correlation is :

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

In correlation both variables are always?

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

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

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:

A t-test is used to compare:

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:

Let the coefficient of determination computed to be 0.39 in a problem involving one independent variable and one dependent variable. This result means that

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

All data points falling along a straight line is called:

Relationship between correlation coefficient and coefficient of determination is that?

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

The percent of total variation of the dependent variable Y explained by the set of independent variables X is measured by

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

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

31. The value of the coefficient of correlation r lies between:

R2 is used in regression analysis to:

The correlation coefficient is used to determine:

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

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

The arithmetic mean of the two regression coefficients is greater than or equal to:

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

Inferential statistics enable you to :

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

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