Can someone please help me with this business statistics question?

I'm so confused and just need some help with working out the answers.

Select only one statement 1. (1 mark) Which of the following statement is correct? 2. (1 mark) Which of the following statement is correct? 3. (1 mark) Which of the following statement is correct? 4. (1 mark) Which of the following statement is correth 5. (1 mark) Which of the following statement is correct? 6. (1 mark) Which of the following statement is correct? 0 o o 0 0 o 1. (1 mark) Which of the following statement is corred The intercept of a regression line describes the average change in the Y-variable for each 1-unit change in the X-variable. 2. (1 mark) Which of the following statement is corred For the least squares regressions, the average pattern seen in the scatter plot must be a straight line. 3. (1 mark) Which of the following statement is corred In regression, we can use the Y-variable to predict values for the X-variable. In regression, the X-axis and the Y-axis play the same role. 4. (1 mark) Which of the following statement is correct? 5. (1 mark) Which of the following statement is correct? 6. (1 mark) Which of the following statement is correct?Select only one statement 0 1. (1 mark) Which of the following statement is correct? 2. (1 mark) Which of the following statement is cor a The sign (+ or -) of the correlation coefficient r is not necessarily the same as the slope of the least squares regression line. For a least squares regression, the distribution of the residuals depends on the X-variable. An outlier affects the position of the least squares regression line but it does not affect the correlation coefficient r For a least squares regression line, the sum of all the residuals is zero 3. (1 mark) Which of the following statement is cor : x 4. (1 mark) Which of the following statement is cor :- 5. (1 mark) Which of the following statement is correct? 0 5. (1 mark) Which of the following statement is correct? Select only one statement 0 1. (1 mark) Which of the following statement is correct? 2. (1 mark) which of the following statement is correct? I 3. (1 mark) Which of the following statement is cor A . . . Scatter plots can be used to check the normality assumption of the residuals. 4' ll mark) Wh'cl' of the folloWIng statement '5 cor H Even if we see patterns in the residuals Versus the Xvariable plot, we can interpret the regression results The correlation coefficient r and the slope of a least squares regression line measure the same thing and should always have the same value. 5' ll mark) Whmh Of the follownng statement '5 cor '1 The regression equation describes the average relationship between two numeric variables 6. (1 mark) Which of the following statement is correct? 0 1. ('I mark) Which of the following statement is correct? 0 2. ('I mark) Which of the following statement is correct? 3. (1 mark) Which of the following statement is correct? ' 4. (1 mark) Which of the following statement is car ' The correlation coeffi ent r answers the question: how close do these points i e scatter plot come to falling on a straight line. The best tted line Is the one with the smallest sum of residuals' The intercept measures the average value of the Vvalue when the X-variable equals ta 1. If there is a statistically significant linear relationship, then we can conclude that a change in the variable leads to changes in the Y-variable. 5. (1 mark) Which of the following statement is car - 6. (1 mark) Which of the following statement is car - Select only one statement 1. {1 mark) Which of the following statement is correct? 2. {1 mark) Which of the following statement is correct? 3. {1 mark) Which of the following statement is correct? 4. (1 mark) Which of the following statement is correct? I 5. {1 mark) Which of the following statement is cor , The outliers on Y axis do not impact on the slope of the regression line' The outliers are not important for simple linear regression. The outliers on X or Y axes impact on the slope of the regression line. The outliers on X axis do not impact on the slope of the regression line. 6. {1 mark) Which of the following statement is cor ; _- Copyright Macquarie University. Copying or distributi- 0 0 0 0 Select only one statement 1. (1 mark) Which of the following statement is correct? 2. (1 mark) Which of the following statement is correct? 3. (1 mark) Which of the following statement is correct? 4. (1 mark) Which of the following statement is correct? 5. (1 mark) Which of the following statement is correct? ' 6. (1 mark) Which of the following statement is cor -- Copyright @ Macquarie University. Copying or distributi- 0 Normality assumption for linear regression refers to normality of the relationship. Normality assumption for linear regression refers to normality of Y variable. Normality assumption for linear regression refers to normality of residuals Normality assumption for linear regression refers to normality of X variable. 0 0 0 0