In analyzing the effects of an after-school reading program, you run a regression analysis with program participation as the independent variable (0 = control group; 1 = intervention group) and scores on a reading comprehension exam after the program as the dependent variable. Is the effect of the after-school reading program statistically significant? How can you tell, and what does this mean?

please show all steps and please write out complete SENTENCES as to how you did each step.

You watch people exiting Dodgers stadium after a game and you write down two things about each person: (1) How many pieces of blue "Dodgers" clothing they are wearing, and how sad they look (on a scale of 1-10) that the Dodgers just lost. You are curious about whether there is a relationship between these two variables, and also whether you can use the number of pieces of "Dodgers" clothing that a person wears to a game to predict how sad they will be if the Dodgers lose. What kind of hypothesis test would allow you to do this? Chi-Square Goodness of Fit O One-Factor, Independent-Measures ANOVA Two-Factor ANOVA O Correlation/Regression

A regional retailer would like to determine if the variation in average monthly store sales can, in part, be explained by the size of the store measured in square feet. A random sample of 21 stores was selected and the store size and average monthly sales were computed. Complete parts a through c. Use a significance level of 0.10 where needed. 1 Click the icon to view the data table between the store size and average monthly sales. Compute the simple linear regression model using the sample data to determine whether variation in average monthly sales can be explained by store size. What is the linear regression model based on the sample data? y=             +(              )x(Type integers or decimals rounded to two decimal places as needed.) Interpret the slope coefficient. Select the correct choice below and fill in the answer box to complete your choice. (Type an integer or decimal rounded to two decimal places as needed.) For each additional square foot of store size,…

Does more education lower a person’s level of prejudice? The number of years of education and the score on a prejudice test for ten people is given in the following table. Higher scores on the test indicate more prejudice. Years of Education 12 15 14 13 18 10 16 12 10 4 Score on Prejudice Test 1 6 2 3 2 4 1 5 5 10   Construct a scatterplot for the data and briefly explain the type of relationship between the two variables.  positive, moderate linear correlation  positive, weak linear correlation  negative, moderate linear correlation  negative, weak linear correlation

Consider the following computer output from a multiple regression analysis relating the cost of car insurance to the variables: number of car accidents, driver's credit score, and safety rating of the car. Intercept Car Accidents (In last 3 years) Credit Score Safety Rating Answer Coefficients 1278 230.04 Coefficients Does the sign of the coefficient for the variable safety rating make sense? - 140.58 328.63 Standard Error 129.86 23.23 14.97 397.29 t Stat 9.841 P-value 0.0000 9.903 0.0000 -9.391 0.0000 0.827 0.4117 O No, because it is expected that as the safety rating increases then the cost should decrease. O Yes, because it is expected that as the safety rating increases then the cost should decrease. O No, because it is expected that as the safety rating increases then the cost should also increase. O Yes, because it is expected that as the safety rating increases then the cost should also increase. Tables G Keypad Keyboard Shortcuts

Process the following data and interpret them, namely: - The Regression Equation! - Determine the correlation coefficient and explain the meaning of its value. How do you determine the sign of the correlation coefficient?

As a marketing manager for TriFood, you want to determine whether store Sales (# sold in one month) of TriPower bars are related to price (in cents) of TriPower bars and in-store promotional expenditures (in dollars) for TriPower bars. You conduct a multiple regression analysis with store Sales (Y) as the response variable, and Price (X1) and Promotion (X2) as explanatory variables. Use the pictured Excel regression output below to answer the questions. a) Interpret the value for R square. Interpret the estimated coefficient for price. b) State the hypotheses for assessing the statistical significance of the overall regression equation. Does the model overall fit the data (yes or no?) f) An external consultant to TriFoods believes that for every $1 increase in promotional expenditures, sales will increase by 4.7 units. Test the consultant's hypothesis at a 5% significance level using both approaches (tcalc vs tcrit and p-value vs a).

Multiple Cholce 0.1352 0.1563 0.8446 0.8648

Use the partial SAS output provided below to the question. After the variable ERA has been excluded from the model, Model 3 was tested. The partial SAS print below provides information about model 3. The estimated regression line is Wins = 72.96 + 0.64 Saves + 15.30Runs -63.53 WHIP Obs Wins ERA Saves Runs Batting HRs WHIP 26 88 3.90 48 4.21 0.259 156 1.263 True or False: The estimated value of Wins is equal to 87.85 and the residual is equal to 0.004. Which means that this data point is almost on the regression line. (use 2 decimal places) True False