Please help me with these. Thank you.

1.Statistical technique used to determine the strength or degree of linear relationship existing between continuous interval level and the other is dichotomous variable. *

Spearman Rank Order Correlation (rho)

Regression Analysis

Pearson Product Moment Correlation

Point-Biserial Correlation

2.Statistical technique used to determine the strength or degree of linear relationship existing between two quantitative continuous variables at an interval and ratio level. *

Pearson Product Moment Correlation

Regression Analysis

Point-Biserial Correlation

Spearman Rank Order Correlation (rho)

3.Statistical technique used to predict the value of a dependent variable based on the value of at least one independent variable. *

Spearman Rank Order Correlation (rho)

Pearson Product Moment Correlation

Point-Biserial Correlation

Regression Analysis

4.Statistical technique used to determine the strength or degree of linear relationship existing between two qualitative variables in ordinal level. *

Point-Biserial Correlation

Regression Analysis

Pearson Product Moment Correlation

Spearman Rank Order Correlation (rho)

5.Which correlation coefficient represents the strongest linear relationship between two variables? *

0.00

0.50

0.64

-0.89

6.The value of correlation coefficient (r) ranges from 0 to 1. *

True

False

7.The value of correlation coefficient (r) does not change if all values of either variable are converted to a different scale. *

True

False

8.The value of correlation coefficient (r) is affected by the choice of x or y. *

True

False

9.The value of correlation coefficient (r) is sensitive to outliers. *

True

False

10.Zero linear correlation implies that the independent variable is not related with the independent variable. *

True

False

11.In regression equation, b1 is the estimated average value of y when the value of x is zero. *

True

False

12.In regression equation, b0 is the estimated change in the average value of y as a result of a one-unit change in x. *

True

False

13.R^2 is the proportion of the total variation in the independent variable that is explained by the variation in the dependent variable. *

True

False

14.R^2 is the squared of the correlation coefficient. *

True

False

15.A coefficient of determination of 100% is associated with a correlation coefficient of +1.0. *

True

False

The following data were collected to determine a suitable regression equation relating to the yields of the farmers.

(Y) total yields (in cavan) 50 100 130 45 60 80 200 130 168 109 (X)total land area (in hectares) 0.6 1 1.4 0.5 1 1 2.9 1.6 1.7 1.3 (Z) amount of fertilizer used (in kg) 87 97 90 58 30 60 120 95 90 84 EY = 1072 EX = 13 EZ = 811 EY = 138430 EX? = 21.12 EZ2 = 71523 EYX = 1689.8 EYZ = 95586Vitamin C tablet taken Vitamin C tablet not taken Get cold during the term 15 22 Did not get cold during the term 100 93