Find a least squares solution of Ax = b by constructing and solving the normal equations. = 21 1 1 b = --B-A 1 3 x =
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- If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use it to find a second model for the data. Graph this new equation along with your first model. How do they compare?An train station has determined that the relationship between the number of passengers on a train and the total weight of luggage stored in the baggage compartment can be estimated by the least squares regression equation ?=134+26?y=134+26x. Predict the weight of luggage for a flight with 73 passengers.An automotive engineer computed a least-squares regression line for predicting the gas mileage (y) in miles per gallon of a certain vehicle from its speed (x) in miles per hour. The result is y = -0.14x+ 38.78. Predict the gas mileage when the vehicle is travelling at 55 miles per hour. Round your answer to one decimal place. Only write a number as your answer.
- The least squares equation, y= 18.9476+1.1842x. If y= 66.3156, what is the value of x? *Select the equation of the least squares line for the data: (51.00, 1.0), (48.75, 2.5), (52.50, .5), (46.50, 5.0), (45.00, 4.5), (41.25, 6.5), (43.50, 5.0). a) ŷ = -28.956 − 0.54067x b) ŷ = 28.956 − 0.59474x c) ŷ = 0.54067x − 28.956 d) ŷ = 31.852 − 0.59474x e) ŷ = 28.956 − 0.54067x f) None of the aboveA least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is weight = -5.69 + 0.1656 length. A newborn was 48cm long and weighed 33kg. According to the regression model, what was his residual? What does that say about him?
- Where is the quadratic model for the data?The least squares regression equation is y=158.7740+0.7627x. If two quarterbacks differ in height by 6 inches, by how much would you predict their weights to differ?The following gives the number of accidents that occurred on Florida State Highway 101 during the last 4 months: Month Number of Accidents Jan 25 Feb 45 Mar 60 Apr 100 Using the least-squares regression method, the trend equation for forecasting is (round your responses to two decimal places): ŷ=+x
- A least squares regression line was calculated to relate the length (cm) of newborn boys to their weight in kg. The line is weight = -5.25 +0.1696 length. A newborn was 48 cm long and weighed 3 kg. According to the regression model, what was his residual? What does that say about him?two variables have at least squares regression line of 28.77 + 0.346 7x. Calculate the value of y that is predicted for an x value of 35.The ife expectancy for females in a certain country born during 1980 - 1985 was approximately 74.2 years. This grew to 75 years during 1985- 1990 and to 75.2 years during 1990 - 1995. Construct a model for this data by finding a quadratic equation whose graph passes through the points (0,74.2). (5,75), and (10,75.2). Use this model to estimate the Iife expectancy for females bom between 1995 and 2000 and for those bom between 2000 and 2005. Letx be the number af years sine 1980 and y be the ile expectancy for a person bom between (1980 + x)and (1980 +x+5). Find a quadratc equaton whose graph passes trough the points (0,74.2), 6,75), and (10,75.2). y-0 (Type an expression using xas the variable. Use integers or decimals for any numbers in the expression. Do not factor.) According to the model, the fe expectancy of a female bom between 1995 and 2000 in this country is years. (Round to the nearest tenth as needed.) According to the model, the Ife expectancy of a female bom between 2000…