Pls help on the wrong answer
\f(c) If x2 = 3, x3 = 10, and x4 = 9, what is the predicted value for x1? {Use 1 decimal piace.) : (d) Explain how each coefcient can he thought of as a \"slope" under certain conditions Q If we hold all other explanatory variables as fixed constants, then we can iook at one coefficient as a \"slope." O [f we look at ail coefcients together, each one can be thought of as a "slope." 0 If we Eook at all coefcients together, the sum of them can be thought of as the overall "slope" of the regression line. 0 If we hold all explanatory variables as xed constants, the intercept can be thought of as a "slope" .( Suppose x3 and x4 were heEd at fixed but arbitrary values and x2 increased by 1 unit. What would be the corresponding change in XI? 3.1 .I Suppose x increased by 2 units. What would he the expected change in x ? 2 1 6.2 .f Suppose x2 decreased by 4 units. what would be the expected change an x1? 12,4 x (e) Suppose that n = 13 data points were used to construct the given regresszon equation and that the standard error for the coefficient of x2 is 0.468. Construct a 99% confidence interval for the coefcient of x2. (Use 2 decimal places.) m. m at upper "mm x (f) Using the information of part (e) and level of signicance 10%, test the claim that the coefcient ofx : x mm : a 2 Is different from zero. (Use 2 decimal places.) 2. [0.37f0.45 Points] DETAILS PREVIOUS ANSWERS BBUNDERSTAT12 9.4.002.Ml. Use the following linear regression equation to answer the questions. X3 = 15.9 -l- 4.5.)(1 + 8.2354 2.0x? (c) If x1 : 3, x4 : 7, and x7 : 1, what is the predicted value for x3? (Round your answer to one decimal place.) (d) Explain how each coefficient can be thought of as a "slope" under certain conditions. 0 If we look at all coefficients together, the sum of them can be thought of as the overall "slope\" of the regressmn line. 0 If we hold all explanatory variables as fixed constants, the intercept can be thought of as a \"slope." 0 If we look at all coefficients together, each one can be thought of as a \"slope." @ If we hold all other explanatory variables as fixed constants, then we can look at one coefcient as a "slope." Suppose x and x7 were held at xed but arbitrary values. 1 If )r4 increased by 1 unit, what would we expect the corresponding change in x3 to be? If Jr4 increased by 3 units, what would be the corresponding expected change in x ? 3 If x4 decreased by 2 units. what would we expect for the corresponding change in x3? (e) Suppose that n = 16 data points were used to construct the given regression equation and that the standard error for the coefcient of x4 is 0.946. Construct a 90% confidence interval for the coefficient of x4. (Round your answers to two decimal places.) lowernmw x upper limit 11.34 X :6 Wind: If) Using the information of part (e) and level of signicance 1%, test the claim that the coefcient of x4 is different from zero. (Round your answers to three decinfpl JQ'Srlg S if- t : 10,082 x (c) Use a calculator to verify that 2x = 61, 2x2 = 991, 2y 2 634, 21x2 2 90,446, and Zn; 2 9,249. Compute r. [Round your answer to four decimal places.) 0.9610 x b. [0.271033 Points] DEI'AiLS PREVIOUS ANSWERS BBUNDERSTAT12 9.1.013.MI.5. MY NOTES ASK YOURTEACHER PRACTICE ANOTHER How much should a heatthy Sheand puny weigh? Let x be the age of the pony (in months}, and let y be the average weight cf the puny [in kilograms) 3 6 12 19 21 x. Y 60 95 140 150 189 (c) Use a calculator to verify that EX = 134, Ex- = 6704, Ey = 151, Ey
