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Can you help me with this? Question 1. 1. Pearsons Correlation requires at least interval level data. (Points : 1) True False Question 2. 2.

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Question 1.1.Pearsons Correlation requires at least interval level data. (Points : 1)
True False
Question 2.2.A p-value of 9.22E-36 equals 0.00000000000000000000000000000000000922 and is less than .05 (Points : 1)
True False
Question 3.3.When plotting variables on a scatter diagram, the variables plotted on the Y-axis is the horizontal axis and the X-axis is the vertical axis. (Points : 1)
True False
Question 4.4.If two variables are known to be correlated, it is possible to predict the value of y (dependent variable) from an x (independent) variable. (Points : 1)
True False
Question 5.5.When determining statistical significance of correlations, (as a rule of thumb), variable pairs with coefficients greater than (>) 70% are generally not very valuable for prediction purposes. (Points : 1)
True False
Question 6.6.A correlation of .90 and above is generally considered too strong to be of any practical significance. (Points : 1)
True False
Question 7.7.A Pearson correlation of +1.00 is considered a perfect positive correlation. This means. (Points : 1)
is a perfect vertical line is a perfect horizontal line has the line with a positive slope and runs from the lower left to the upper right has the line with a positive slope and runs from the upper left to the lower right
Question 8.8.When looking at a regression statistics table, Multiple R displays the percent of variation in common between the dependent and all of the independent variables. (Points : 1)
True False
Question 9.9.Which statement does not belong? (Points : 1)
Excel finds the Pearson Correlation Coefficient using thefxfunction Correl Excel finds the Pearson Correlation Coefficient using Data Analysis function Correlation. Correl can be used for a single or multiple data sets Danta Analysis function Correlation can be used for a single or multiple data sets

Question 10.10.The t Stat value is used to determine the statistical significance of each of the variables listed in a regression analysis.

(Points : 1)

True False

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