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- The following measurements correspond to air velocity and the evaporation coefficient of burned fuel droplets in a boost engine. Construct a 95% confidence interval for the regression coefficient alpha.Based on data in Figure 1, using Microsoft Excel, at 90% confidence level, can we conclude that on average, the no. of cases reported after 6/6/2021 is significantly lower than before 6/6/2021? Use the p-value approach to make your conclusion. R-naught is a measure used to describe the spreading rate of the COVID-19 disease. Based on the data in Figure 1, run a regression analysis with the aid Microsoft Excel and explain if no. of cases significantly influences the R-naught value.A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043); 2. tenacity and gender (pvalue = 0.102); 3. tenacity and SES (pvalue = 0.40); Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept Ha
- A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 5. tenacity and clothing (value = 0.017); SOrs Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept HaWhich of the following scatterplots provides evidence that the condition of equal variance for inference for the slope of a regression line has not been met?In Panel Data, the within estimator is obtained by: taking all variables (both the dependent variable and the regressors) in deviations from group means and then applying OLS to this transformed dataset. standardizing all variables and then applying GLS to the transformed dataset. including in the regression seasonal dummy variables. estimating the variances of the error components and then applying GLS. All of the above. None of the above.
- A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043); 2. tenacity and gender (pvalue = 0.102); 3. tenacity and SES (pvalue = 0.40); 4. tenacity and voice (pvalue = 0.001); 5. tenacity and clothing (value = 0.017); SOrs Using the pvalue, provide your DECISION, whether:Accept Ho or Reject Ho, Accept HaIn building an arena, steel bars with a mean ultimate tensile strength of 400 Megapascal (MPa) with a variance of 81 MPa were delivered by the manufactured. The project engineer tested 50 steel bars and found out that the mean ultimate tensile strength is 390 MPa. The decision for the extension of the contract with the manufacturer depends on the engineer. Test the hypothesis whether there is no significant difference between the two means using a two-tailed with a=0.01A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 1. tenacity and age (pvalue = 0.043) Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept Ha
- A sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 3. tenacity and SES (pvalue = 0.40) Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept HaA sample of n = 120 scores were presented using the Tenacity (authority) scores to the following predictors: age gender, SES, tone of voice, and clothing. Using a two-tailed test at the 0.05 level of significance, a multiple regression analysis was computed: 2. tenacity and gender (pvalue = 0.102); Using the pvalue, provide your DECISION, whether: Accept Ho or Reject Ho, Accept HaThe following table shows the starting salary and profile of a sample of 10 employees in a certain call center agency. Run a multiple regression analysis with starting salary as the dependent variable (pesos) and GPA, years of experience and civil service ratings as the independent variables. Use .05 level of significance.In the ANOVA F test output, what is the computed F and the conclusion of the test regarding the overall significance of the model? Computed F stat = 27.51. Reject Ho. Therefore, the resulting regression model overall predicts the starting salary significantly well. Computed F stat = 27.51. Ho is not rejected. Therefore, the resulting regression model is not significant. Computed F stat = 123.71. Ho is rejected. Therefore, the resulting regression model overall predicts the starting salary significantly well. Computed F stat = 212.56. Reject Ho. Therefore, the resulting regression model overall predicts…