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Linear Regression
Generally, in two mutually related statistical series, the regression analysis based on graphic method. Under graphic method the values of X and Y variable are plotted on a graph paper in the form of a scatter Diagram .When two lines are drawn passing nearest to the dots, these are known as regression line. If these lines are straight, the regression is called as linear. The equations of these straight regression lines are called equations of the first degree. Regression equation of y on x : y =a+bX and regression equation of X and y:x =a+by. If these regression lines take the form of smooth curve, the regression will be called as curvilinear.
Given a certain population there are various ways in which a sample may be drawn from it. The chart below illustrates this point: Figure 1 In Judgem
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1. For each of the following variables: major, graduate GPA, and height: a. Determine whether the variable is categorical or numerical. b. If the variable is numerical, deter
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In an agricultural experiment, we wish to compare the yields of three different varieties of wheat. Call these varieties A, B and C. We have a ?eld that has been marked into a 3 *
Using the raw measurement data presented below, calculate the t value for independent groups to determine whether or not there exists a statistically significant difference between
Ask queFrom these studies, which of the following may be considered a variable that can have a probability distribution? [I] Percentage of Sub-Saharan Africans that smoke [II] Perc
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