Use the following for questions 3-5. A statistically-minded English teacher wonders if she can predict the random sample of 13 student papers (all produced by the same word-process students submit on the basis of how large the computer files for the essays ar and compares file size (in kilobytes or KB) to the word count for each. A co regression analysis of her data is given below. Assume all conditions for inf have been met. Predictor Constant File Size Coef -1450.3 76.50 SE Coef T 773.4 -1.88 28.60 2.67 P 0.088 0.0227

. A professor at the University of Alabama was interested in evaluating the relationship between family support and delinquency. Using data collected on 4545 families, the researcher used regression to analyze the relationship. The results are presented below.       Variables Entered/Removeda Model Variables Entered Variables Removed Method 1 Family supportb . Enter   a. Dependent Variable: Delinquency b. All requested variables entered.     Model Summary Model R R Square Adjusted R Square Std. Error of the Estimate 1 .249a .062 .062 1.59168   a. Predictors: (Constant), Family support     ANOVAa Model Sum of Squares df Mean Square F Sig. 1 Regression 759.204 1 759.204 299.671 <.001b Residual 11479.107 4531 2.533     Total 12238.311 4532         a. Dependent Variable: Delinquency b. Predictors: (Constant), Family support…

For example, with five equally spaced values of the controlled variable the coded values could be -2, -1, 0, +1, +2; with six values the coded measurements could be -5, -3, -1, +1, 3, 5. cass Use this technique to find the regression line in the following case. Output (1000 tons) 11.1 12.3 13-7 14.6 15.6 1960 1961 1962 1963 1964 Year Estimate the output of the company in 1965.

Answer the following: 2. Describe the form, direction, and strength of the relationship between these variables. Does there appear to be any outliers? 3. The equation of least-squares regression line is y = 6.871 + 0.061x. This line goes through the points (0, 6.9) and (700, 49.5). Use these points to add the regression line to your scatterplot above. 4. One animal is farthest from the regression line and is an outlier for these two variables. Find the name of this animal and write a sentence describing how its position differs from the overall relationship among the other animals. 5. The elephant has the longest gestation period of these animals. a. Considering only the gestation variable, would you say that the elephant is an outlier? Write a sentence or two explaining why or why not? b. Considering both variables and the relationship between average life span and average gestation period, would you say the elephant is an outlier now? Write a sentence or two explaining why or why…