Question 1 The sum of the squared residuals is minimized in order to find the Blank 1 fitting line. Blank 1 = Add your answer Question 2 The line that best fits the data points in a scatterplot is called the Blank 1 line. Blank 1 Add your answer What is the coefficient of determination (R-squared) in simple linear regression? @ The proportion of the total variation in the dependent variable that is explained by the independent variable. The predicted value of the dependent variable. @ The standard deviation of the dependent variable. @ The average value of the dependent variable. Question 4 What does the intercept term in simple linear regression represent? @ The average value of the dependent variable. The predicted value of the dependent variable when the independent variable is zero. @ The standard deviation of the dependent variable. @ The predicted value of the independent variable when the dependent variable is zero. Question 5 Match the scatter plot pattern with the appropriate correlation coefficient: Prompts 1 @ Strong positive linear relationship 05 L , , 1 @ Strong negative linear relationship 2 @ No linear relationship 0 @ Moderate positive linear relationship Select match Question 6 Match the statistical test with its corresponding assumption: Prompts T Normal Distribution @ Simple Linear Regression Independence _ . Linearity @ ANOVA (Analysis of Variance) Independence @ t-test for Independent Samples _ Equal Variances @ Chi-Square Test of Independence | Select match e The probability of correctly rejecting the null hypothesis when it is actually false Question 7 Match the type of error with its definition: Rejecting the null hypothesis when it is actually true Prompts Confidence Level @ Type | Error The probability of making a Type | Error Type Il Error @ - Failing to reject the null hypothesis when it is actually false @ Power Select match v @ Level of Significance Select match v Question 8 Which of the following is true about the dependent variable in simple linear regression? @ It is the variable that is held constant. It is the variable used to predict other variables. @ It is the variable being predicted or explained. @ It is the variable that is controlled in the experiment. An outlier is an observation that falls far away from the other data points, and can have a significant impact on the Blank 1 line. Blank 1 = Add your answer Question 10 Formula for a simple linear regression model Area of a Triangle = 1/2 * base * height Match the formula with its corresponding calculat Formula for calculating the slope (b) in a simple linear regression Prompts a4 & peib) P & mode @ Y=a+bX . . . . . Formula for calculating the intercept (a) in a simple linear regression model| @ b = cov(X, Y) / var(X) Formula for calculating the variance of X @ a =mean(Y) - b * mean(X) Select match v @ var(X) = sum((X - mean(X))?2) / (n - 1) Select match v