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Question 1: fUse the data in the given table to Fill in the missing coefficients. Round your answers to 3 decimal places. III- The table

Question 1:

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\fUse the data in the given table to Fill in the missing coefficients. Round your answers to 3 decimal places. III- The table below show data that has been collected from different fields from various farms in a certain valley. The table contains the grams of Raspberries tested and the amount of their Vitamin C content in mg. Find a linear model that express Vitamin C content as a function of the weight of the Raspberries. Round your answers to 3 decimal places Vitamin C Form A North Fioto Form B - North Ftoto \" Form A South Ftoto m m m _l m According to this model, how manyr mg of Vitamin C can be expected in a raspberry that weighs 9 grams Round to 3 decimal places. :| Agroup of researchers are working to determine the historic sea levels of the body of water. They are attempting to do this by taking samples around the body of water and in a nearby cave and after analyzing sediment cores from around the body of water to those in the cave. The Climatologist that is working in the cave is trying to determine the age and growth rate of stalactites, to get a more accurate picture of the age of the existing stalactites. The following table contains the estimated age {to the nearest thousand] of the sample and the length of the sample in micrometers. Find a linear model that express length as a. function of the age. Round your answers to 2 decimal places. -Im m 4?16 4955 m 53?: According to this model, how old do we expect a stalactite of length 6063 Micrometers to be? Round to 2 decimal places. :| Basketball regression line prediction: Suppose the equation for the regression line for the number of games won in a season, 1;, is given by: y 2 1GB .l]44:1: where I is number of turnovers by the team in a season. For a team with 105? turnovers in a season, find the expected numb-er of wins in a season. Round your answer to the nearest whole number. Baseball regression line prediction: Suppose the equation for the regression line for the number of runs scored in a season, v, is given by y = 530 + am, where I is the team's batting average. For a team with a batting average of 0.235, find the expected number of runs scored in a season. Round your answer to the nearest whole number. Interpret the Correlation Coefficient 0.95 It is Strong Positive It is. Weak Positive It is Weak Negative |t i5 Strong Negative um\" m Use linear regression to find the equation for the linear function that best fits this data. Round parameters to two decimal places. I' \f\fli5e the regre55ion capabilitie5 of a graphing calculator to find the equation for the line of he5t fit for the following points. Round decimals off to the nearest hundredth. Note: \"1,! =" is already.r written fill in the right side of the equation only # \fThe table below shows the number of small balloons manufactured and the number of events in which clowns are hired for entertainment for several Northwestern states. where 3 is thousands of small balloons manufactured and y is events in which clowns are hired for entertainment per l residents. ummmmm mum Use your calculator to determine the equation of the regression line and write it in the y = 113 + b form. Round to 2 decimal places. i:| According to this model, how manyr events in which clowns are hired for entertainment per 1m,ooo residents can be expected in a state with 9.3 thousand small balloons manufactured? Round to 3 decimal places. :1 According to this model, how man}:r events in which clowns are hired for entertainment per 1D residents can be expected in a state with 3.8 thousand small balloons manufactured? Round to 3 decimal places. Linear Regression Use linear regression to find the equation for the linear function that best fits this data. Round both numbers to two decimal places. Write your final answer in a form of an equation y = mm + b

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