The table below shows the income (X) and expenditure (Y) data for 10 households. Please answer the following questions. Estimate the expenditure function manually: Yi=b0+b1Xi Interpret b0 and b1 Test the significance of parameters (alpha = 0.05). Write down the 95% confidence interval for Y when X=45 X 20 30 33 40 15 13 26 38 35 43 Y 7 9 8 11 5 4 8 10 9 10

Choose the appropriate statistical test. When computing, be sure to round each answer as indicated. A dentist wonders if depression affects ratings of tooth pain. In the general population, using a scale of 1-10 with higher values indicating more pain, the average pain rating for patients with toothaches is 6.8. A sample of 30 patients that show high levels of depression have an average pain rating of 7.1 (variance 0.8). What should the dentist determine? 1. Calculate the estimated standard error. (round to 3 decimals). [st.error] 2. What is thet-obtained? (round to 3 decimals). 3. What is the t-cv? (exact value) 4. What is your conclusion? Only type "Reject" or Retain"

Help please with this question

do the last one please

Use Excel’s Data Analysis tool to conduct a multiple regression, using Risk of Stroke as the dependent variable, and all the rest of variables as independent variables. Choose confidence level at 99%. Risk of Stroke (%) Age Pressure Smoker (Yes=1) 12 57 152 0 24 67 163 0 13 58 155 0 56 86 177 1 28 59 196 0 51 76 189 0 18 56 155 1 31 78 120 0 37 80 135 1 15 78 98 0 22 71 152 0 36 70 173 1 15 67 135 1 48 77 209 0 15 60 199 0 36 82 119 1 8 66 166 0 34 80 125 1 3 62 117 0 37 59 207 1 Interpret the multiple coefficient of determination R-square. Compare the R-square of the simple linear regression and the R-square of the multiple regression, what does the differences in R-squares tell us? What does F-test for significance tell us?

The full question for the last question is written down below  Fail/fail to reject H0. There is insufficient/sufficient evidence at the 10​% level of significance to support the claim that there is a linear relationship between weight and number of hours slept.

Based on the scatterplot, describe the association between the two variables. Comment on form, direction, and strength.