A student was performed on a type of bearing to find the relationship of amount of wear y to x₁ = oil viscosity and x2 = load. The accompanying data were obtained. Complete parts (a) and (b) below. Click the icon to view the bearing data. (a) Estimate the unknown parameters of the multiple linear regression equation μy|x₁₁x2 Bo+B1x1 +ẞ2x2. (Round the constant to the nearest integer as needed. Round the x-coefficient to two decimal places as needed. Round the X2-coefficient to three decimal places as needed.) (b) Predict wear when oil viscosity is 25 and load is 1000. ŷ= ☐ y= (Round to three decimal places as needed.) Bearing Data y x1 X2 193 1.4 852 172 22.2 1055 115 32.8 1364 232 15.8 809 90 42.8 1205 127 39.9 1110

Use the table and info in both photos to solve for MSE, MSTR and F showing the answers in the appropriate box in the second photo. All info is in both photos. please answer clearly and explain. Thank you

Please show me how to answer in excel. Questions 3-6.

Please answer question and box and write it out in the same format as the question and dont type.

Please write the steps of this question and circle the answer so that I can understand. Please write the answer in an organized way if possible so that I can understand and identify the numbers. For each step, please specify which answer corresponds to which step. I appreciate your understanding. This question has several steps and I have sent you both pages. Please, if possible, write the step by step and circle the answer so that I don't get lost. Please tell me what the answer to each question is about.

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