A simple regression model for 10 pair of data resulted in a standard error of 3.95 (i.e., Se = 3.95), and the. The sum of squares of error (SSE) is ______. Group of answer choices 187.23 171.63 156.03 140.42 124.82
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- In a simple linear regression based on 20 observations, it is found b1 = 3.05 and se(b1) = 1.30. Consider the hypothesis : H0 : β1 = 0 and HA : β1 ≠ 0 . Calculate the value of the test statistic.Consider the following set of dependent and independent variables. Complete parts a through c below. y 9 11 D 15 15 21 24 28 32 X1 2 6 6 8 6 11 15 20 X2 16 10 14 11 3 8 7 4 a. Using technology, construct a regression model using both independent variables. y= (15.3952) + (1.0092) x₁ + (-0.5869)x2 (Round to four decimal places as needed.) b. Test the significance of each independent variable using α = 0.05. Test the significance of x₁. Identify the null and alternative hypotheses. Ho B₁ = H₁ B₁ 0 0 (Type integers or decimals.) Calculate the appropriate test statistic. The test statistic is 4.20 (Round to two decimal places as needed.) Determine the appropriate critical value(s) for α = 0.05. The critical value(s) is (are) ☐ (Round to two decimal places as needed. Use a comma to separate answers as needed.)Consider the following data for a dependent variable y and two independent variables, x1 and 12. 30 12 94 47 10 109 25 18 112 51 16 178 40 94 51 19 175 75 171 36 12 118 59 13 143 77 17 212 Round your all answers to two decimal places. Enter negative values as negative numbers, if necessary. a. Develop an estimated regression equation relating Y to ¤1. Predict y if æ1 = 35. b. Develop an estimated regression equation relating y to x2. ŷ = + Predict y if x2 = 25. ŷ = c. Develop an estimated regression equation relating y to ¤1 and 2. Predict y if x1 = 35 and x2 = 25. ŷ =
- What is the test statistics and critical values. I got 4.20 for the test statistic, but it says its incorrect.The following information pertains to data that have been gathered in the process of estimating a simple least-squares regression: mean value of the dependent variable 30 mean value of the independent variable 10 Coefficient of the independent variable 3 Number of observations 12 What is the "a" value for the least squares regression model?Assume there are 3,600 cases in the validation dataset, and 12% of these cases have a value of 1 for churn (the primary/positive event). Questions a) to c) are based on data for the 3,600 cases (see table below). Depth (% Contacted) Model Cumulative Gain Cumulative Lift Decision Tree 34.42 6.84 Logistic Regression Neural Network 20.19 4.01 34.62 6.88 Decision Tree Logistic Regression Neural Network 10 64.90 6.06 10 36.06 3.15 10 62.50 5.54 Decision Tree 15 73.96 1.82 Logistic Regression Neural Network 15 49.04 2.62 15 82.21 3.97 Decision Tree Logistic Regression 20 78.39 0.87 20 59.13 2.01 Neural Network 20 86.54 0.86 a) Which model has the highest Cumulative Lift at a depth of 20%? What is the lift? b) If the Cumulative Gain at a depth of 10% for the Decision Tree is converted to number of primary/positive event cases, what will be the number of cases? Show your calculation. c) If the Cumulative Gain at a depth of 15% for the Neural Network model is converted to number of…
- The regression analysis is normally depicted as "y = Ax+ B." What does "A" indicate in the equation? A) It is the expected change in the independent variable for a one-unit change in the dependent variable OB) It is the significance level for the test OC) It is the expected change in the dependent variable for a one-unit change in the independent variable OD) The confidence intervalConsider the following time series: Construct a time series plot. What type of pattern exists in the data? Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. What is the forecast for t = 8?Read the z statistic from the normal distribution table and choose the correct answer. For a one-tailed test (lower tail) using a = .0901, z = O -1,96 O -1.86 O -1,34 O -1.645 O o o o
- answer the blank part please ASAPb. Convert the Data available into a Table and choose a Design of your choice.c. Obtain the Mean, Median, Standard Deviation, Variance, Quartiles (Q1, Q2, Q3, Q4), IQRfor the entire data (1895-1998), using ONLY Excel Functions (not using the Analysis ToolPak Add-In)d. Use the Statistical measurements generated from the Analysis Toolpak (Add-In) andcompare the values obtained in (c). Comment on your findings.Compute the mean, median, and mode of the data sample. (If every number of the set is a solution, enter EVERY in the answer box.) 3, 4, 4, 8, −4 mean______ median_______ mode__________
