Spacecraft Weight (lb) Cost ($ million) i Xi Yi 1 400 278 530 414 3 750 557 4 900 689 5 1,130 740 1,200 851

Part 5 only

(d) If the life expectancy is increased by 3.5 years in a certain country, how much will the happiness index change? Round to two decimal places. (e) Use the regression line to predict the happiness index of a country with a life expectancy of 84 years. Round to two decimal places.

Please help me this question.

How can I answer the following homework question as shown in the images? I would appreciate an thorough explanation and final answers. Thank you!

The mean weight of a Great Dane is 63.0 kg with a standard deviation of 2.3 kg.  Suppose a researcher randomly samples 61 Great Danes and records the weights of the sampled dogs.  Calculate the standard deviation of the mean, rounded to 2 decimal places

What are the coefficients of correlation between miles per gallon and horsepower? Between miles per gallon and the weight of the car? What are the directions and strengths of these coefficients? Do the coefficients of correlation indicate a strong correlation, weak correlation, or no correlation between these variables? See Step 4 in the Python script. Write the multiple regression equation for miles per gallon as the response variable. Use weight and horsepower as predictor variables. See Step 5 in the Python script. How might the car rental company use this model?

Suppose that a simple linear regression model is appropriate for describing the relationship between y = house price (in dollars) and x = house size (in square feet) for houses in a large city. The population regression line is y = 22,500 + 43x and ?e = 4,000. b) Approximately what proportion of 2,000 sq ft homes would be priced over $110,000? (You may need to use a table. Round your answer to four decimal places.)   Approximately what proportion of 2,000 sq ft homes would be priced under $100,000? (You may need to use a table. Round your answer to four decimal places.)

Please answer the first two subparts only. Part (C) (c) Use the regression equation to make a prediction for each quarter in 2011. (Enter your answers in millions rounded to 3 decimal places.)  Quarter Predicted Q1   Q2   Q3   Q4     Quarterly Revenue for Coca Cola Company, 2005-2010 (millions of dollars)       Quarterly Revenue for Coca Cola Company, 2005-2010 (millions of dollars)                               Year Quarter Revenue                   2005 Qtr1 5,206   In row-column format                 Qtr2 6,310   Quarter 2005 2006 2007 2008 2009 2010     Qtr3 6,037   Qtr1 5,206 5,226 6,103 7,379 7,169 7,525     Qtr4 5,551   Qtr2 6,310 6,476 7,733 9,046 8,267 8,674   2006 Qtr1 5,226   Qtr3 6,037 6,454 7,690 8,393 8,044 8,426     Qtr2 6,476   Qtr4…

When you are deciding which variables to include as predictors in a multiple regression equation, what are some conditions that you must consider first?