(e) Use the F test to test the hypotheses in part (d) at a 0.05 level of significance. Present the results in the analysis of variance table format. Set up the ANOVA table. (Round your values for MSE and F to two decimal places, and your p-value to three decimal places.) Source of Variation Regression Error Total Sum of Squares 1901.25 Degrees of Freedom 1901.25 Mean Square Find the value of the test statistic. (Round your answer to two decimal places.) Find the p-value. (Round your answer to three decimal places.) p-value= p-value State your conclusion. Reject Ho. We conclude that the relationship between x and y is significant. O Do not reject Ho. We cannot conclude that the relationship between x and y is significant. O Do not reject Ho We conclude that the relationship between x and y is significant. O Reject Ho We cannot conclude that the relationship between x and y is significant.

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I need help with these questions  1. do the covariates and factors interact? 2. can you conclude a homogeneity of regression slopes? 3. can you conclude homogeneity of variance?

Assume the samples are random and independent, the populations are nomally distributed, and the population variances are equal. The table available below shows the prices (in dollars) for a sample of automobile batteries. The prices are classified according to battery type. At a = 0.10, is there enough evidence conclude that at least one mean battery price is different from the others? Complete parts (a) through (e) below. E Click the icon to view the battery cost data. (a) Let u1. P2. H3 represent the mean prices for the group size 35, 65, and 24/24F respectively. Identify the claim and state Ho and H. H Cost of batteries by type The claim is the V hypothesis. Group size 35 Group size 65 Group size 24/24F 101 111 121 124 D 146 173 182 278 124 140 141 89 (b) Find the critical value, Fo, and identify the rejection region. 90 79 84 The rejection region is F Fo, where Fo = (Round to two decimal places as needed.) (c) Find the test statistic F. Print Done F= (Round to two decimal places as…

Use the following ANOVA table for regression to answer the questions. Analysis of Variance Source DF SS MS F P Regression 1 291.4 291.4 2.01 0.158 Residual Error 174 25230.0 145.0     Total 175 25521.4           Give the F-statistic and p-value.Enter the exact answers.The F-statistic is =The p-value is =

Ten observations were selected from each of 3 populations, and an analysis of variance was performed on the data. The following are the results:   Source of Variation               Sum of Squares     Degrees of Freedom     Mean Square       F   Between Treatments                18.24   Within Treatments(error)       158.4   Using level of significance =.05, test to see if there is a significance difference among the means of the three populations. If in (1) you concluded that at least one mean is different from the others, determine which mean is different. The three sample means are X1= 24.8, X2=23.4, and X3=27.4. Use Fisher’s LSD procedure and let level of significance=.05

This output represents the hypothesis test that the average age at first pregnancy of women diagnosed with breast cancer is different depending on whether or not metastases are present (yes or no) at the time of breast cancer diagnosis.

A test statistic for one of the tests in this unit is given, along with information about degrees of freedom. Give the p-value and indicate whether the results are significant at the 5% level. An analysis of variance test with F-statistic 8.71 and df -numerator 3 and df -denominator = 17 Round your answer to four decimal places. p-value

Which would be the appropriate way to test differences in proportions for more than two samples?     t-test if variance is unknown     z-test     paired t-test     F-test for equality of variances     cross-tabulation procedure to conduct a chi-square test

Refer to the ANOVA table for this regression.  Source SS d.f. MS Regression 1,164,578 5 232,916 Residual 1,500,689 45 33,349 Total 2,665,267 50    (a) State the degrees of freedom for the F test for overall significance.