The logarithmic equation is a nonlinear regression equation of the form y = a + b In x. Use technology to find and graph the logarithmic equation for the accompanying data, which are the shoe sizes and heights (in inches) of 14 men. Click the icon to view the table of shoe sizes and heights. = + In x. ^ The equation of the regression curve is y (Round to two decimal places as needed.) Shoe Sizes and Heights Shoe Size, x Height, y 8.5 66.0 9.0 69.0 9.0 68.0 9.5 70.0 10.0 70.5 10.0 72.5 10.5 71.5 10.5 69.5 11.0 71.0 11.0 71.5 11.0 73.0 12.0 73.5 12.0 73.5 12.5 73.5

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What is the slope and intercept for the regression equation given this data? X = 72, 81, 54, 50, -3 Y = 69, 97, 73, 22, -10 Please format to 2 decimal places.

A random sample of beef hotdogs was taken and the amount of sodium (in mg) and calories were measured. The data are in the table. Create a scatter plot and find a regression equation between amount of calories and amount of sodium. Then use the regression equation to find the amount of sodium a beef hotdog has if it is 138 calories and if it is 100 calories. Which sodium level that you calculated do you think is closer to the true sodium level? Why? Calories and Sodium Levels in Beef Hotdogs Calories Sodium 181 477 114 296 184 440 164 495 149 374 180 526 137 251 170 482 133 350 Select the correct scatterplot. 500 400 440 420 400 340 300 200 124010 15 120 125 18015 140 145 150 155 100 45 170 175 Jao Jas I80 4p. 500 400 440 420 400 300 340 300 200 I4oio is 120 125 180 135 140 J45 J50 153 100 165 170o 500 400 440 420 400 300 340 320 300 220 200 1240lio is 120 125 180 1 140 145 150 155 100 165 170 175 Jao Jas J0 4s. The regression equation is y= decimal places if necessary.) (Round to two…

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write the regression equation that will predict the number of manatees killed given thenumber of powerboat registrations (in 1000's). Show all work usingformulas for slope, b1, and y-intercept, b0, calculations roundingto 4-decimal places, if necessary. Show all the calculations and math of slope, b1, and y-intercept, b0, calculations roundingto 4-decimal places, if necessary. SHOW ALL WORK! DO NOT USE EXCEL! I need to be able to see every single part and how you got it. attached is the question

do you need to add the days to the regression equation

You run a linear regression to predict BMI (body mass index) from average minutes of physical activity per day. You calculate the slope of the regression to be -.054. Interpret the slope in terms of the independent and dependent variables.

Describe regression variation in terms of variation in Y.

Imagine that we can predict one person's monthly salary (Y) from the number of years (X) that he has worked before. The regression equation is salary = 4000+50x. If a person has worked 5 years before, what's his predicted monthly salary?