A professor surveyed students on their study habits, where "x" is the number of hours studying and "y" is the resulting test score. Using a logarithmic regression, predict the number of hours needed to score 95.   (Graph and equation in picture provided)

An exponential equation is a nonlinear regression equation of the form y = ab*. Use technology to find and graph the exponential equation for the accompanying data, which shows the number of bacteria present after a certain number of hours. Include the original data in the graph. Note that this model can also be found by solving the equation log y = mx + b for y. Click the icon to view the table of numbers of hours and bacteria. ..... The equation of the regression curve is y = IO* (Round to two decimal places as needed.) Choose the correct graph below. O A. В. Oc. ABacteria 5000- ABacteria 5000- Bacteria Bacteria 5000- 5000- 0+ Hours Hours Hours Hours Time and bacteria count Number of Number of hours, x bacteria, y 1 163 278 3 469 4 782 1310 1910 4919 of 2.

A regression was run to determine if there is a relationship between hours of TV watched per day (x) and number of situps a person can do (y). The results of the regression were: y=ax+b a=-1.375 b=26.852 r2=0.395641 r=-0.629 Use this to predict the number of situps a person who watches 14 hours of TV can do (to one decimal place)

Suppose that the regression equation that estimates the value of a car (in dollars) based on its age (in years) is given by: Predicted Value = 21375 - 1215 Age. You have an 8-year old car. How much is it worth?

You are studying the relationship between age and lung function measured as forced expiratory volume in 1 min. In a regression analysis is lung function the best option for Y? O Yes O No

Does how long young children remain at the lunch table help predict how much they eat? Twenty toddlers were observed over several months at a nursery school. "Time" is the average number of minutes a child spent at the table when lunch was served. "Calories" is the average number of calories the child consumed during lunch, calculated from careful observation of what the child ate each day. A regression was run and the results were: = 114 + 2.4*x R² = 0.68 r = 0.822 Predict the number of calories a toddler consumes who remains at the table for 14.5 minutes (round your answer to two decimal places)

Based on the scatterplot and residual plot, what type of model would be appropriate for summarizing the relationship between days and number of views? A popular television show recently released a video preview for the upcoming season on its website. As fans of the show discover the video, the number of views of the preview video has grown each day during the last 2 weeks. The number of days since the release of the video and the natural log of the number of video views is shown in the scatterplot. O An exponential model is appropriate because the residual plot does not show a clear pattern. O A linear model is appropriate because the scatterplot shows a strong, positive linear relationship. In(Views) vs. Days O A power model is appropriate because the scatterplot of days and natural log of views is strong and linear. 10 9.5 An exponential model is appropriate because the relationship between days and the natural log of views is linear, and the residual plot does not show a clear…

Use the regression equation to predict the suicide rate for a state with a divorce rate of 6.5. Y = -0.20 + 2.87x

Determine the logarithmic regression of the data below using either a calculator or spreadsheet program. Then, estimate the y value when the x value is 10 . Round your answer to the nearest tenth. Do not include units in your answer. ( 11 , 6100 ) , ( 21 , 4900 ) , ( 33 , 4200 ) , ( 41 , 3600 ) , ( 56 , 2600 ) , ( 69 , 1999 )

Use the data in the accompanying table to find the logarithmic regression equation to the nearest tenth