Statistique Et Méthodologie De La Recherche Test

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

The coefficient of correlation

In correlation both variables are always?

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

To compare three independent means we use:

The coefficient of determination (r2) is

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

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

The null hypothesis states the means are:

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

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

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

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

In regression analysis, the variable that is being predicted is

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

Two variables have a positive association when?

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

The signs of regression coefficients and correlation coefficient are always:

All data points falling along a straight line is called:

The straight line graph of the linear equation Y = a + bX, slope is horizontal if:

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

Which of the following statements is true?

In the regression equation y = bo + b1x1, b1 is the

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

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

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

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

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

The correlation coefficient is used to determine:

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

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

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

The range of regression coefficient is:

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

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

If two variables have a correlation coefficient of .30, what percentage of one variable is
accounted for by the other variable?

An r value of 0.80 indicates:

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:

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

The term regression was used by:

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

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

Bivariate Data are the data collected for :

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

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

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

The dependent variable is also called except one:

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

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

In the regression equation Y = a + bX, where a and b are called:

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

The best fitting trend is one for which the sum of squares of error is?

Correlation analysis aims at :

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

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

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