Qn. The linear model of the variables which is to be maximized or minimized is called

Q: nd which are linearly dependent.

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Q: Use Lagrange multipliers to find the point (a,b) on the graph of y = e4x, where the value ab is as…

A: Let the objective function fx,y=xyand the constraint function…

Q: Find the maximum value of r + y subject to the constraint a2 + y? = 18.

A: The function is given by fx, y = x+y                                          ..........1 The…

Q: use the Lagran ge Multiplier Method to find the estreme values of the given function Subject to the…

A:

Q: Find the minìmum and maximum values of the function subject to the given constraint. (If an answer…

A: Given:- f(x, y) =8x+7y Constraint  x2+y2=4

Q: Use Lagrange multipliers to find the maximum production level when the total cost of labor (at $112…

A:

Q: (b) Find n Σx, ΣΥ, Σχ, (Σ ), and Σχy. Σχ %3D Ey Ex2 %3D (Ex)2 %3D Exy %3D (c) Find a, the slope of…

A:

Q: 10. Maximize the Function P(r, y) = 35x – 27y on the set: 6x + 8y < 96 2 3

A:

Q: Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given…

A: The function is f(x, y)=2x+2y x2+y2=2 Let g(x, y)=x2+y2-2 Differentiate f(x, y) with respect to x…

Q: The following data indicate the number of hours per week of using the computer (X) versus the eye…

A: Here, we have a data where, eye vision is the dependent variable, and computer usage hours per week…

Q: Let A and Abe the maximum and minimum values, respectively of the function f (x, y) = 4x +y? subject…

A:

Q: Find all the local maxima, local minima, and saddle points of thefunctions ƒ(x, y) = x2 + xy + y2 +…

A: Given function, f(x, y)=x2+xy+y2+3x-3y+4

Q: Based on data collected from various ing companies, a homrowner uses the linear model y-15150 to…

A:

Q: Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given…

A: Given that         f(x,y)=5x2+5y2  , xy=1 Here by using lagrange multipliers we have to find the…

Q: A group of retailers will buy 92 televisions from a wholesaler if the price is $400 and 132 if the…

A: Given: A group of retailers will buy 92 televisions from a wholesaler if the price is $400 and 132…

Q: A consumer has $280 to spend on two commodities, the first of which costs $2 per unit and the second…

A:

Q: Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given…

A: We will be using Lagrange multipliers to find the maximum and minimum values of the given function…

Q: Find the​ producers' surplus if the supply function for pork bellies is given by the following.…

A:

Q: In p(x,y) = 3ry – x* – y°, x is the average daylight and y is the average daily rainfall. %3D Solve…

A: To find the points that maximize the the productivity of the function px, y=3xy-x3-y3

Q: The following list shows the number of people (in millions) in the United States whose only means of…

A: Given that, For year 1940 Number of people is 7.6 million. i.e y=7.6

Q: Find maximum and minumum values of f(x, y, z) = 8x – 16y + 40z subject to the constraint x² + y? +…

A: Hair we use langraj multi plier method to solve the the given problem.

Q: Use Lagrange multipliers to find the maximum and minimum values of f(x, y): = 3x + y, subject to the…

A:

Q: Use Lagrange multipliers to find the maximum and minimum values of the function subject to the given…

A: seee 2nd part and 3rd part

Q: Find the max./min. values of f (x, y,z) = x² + y –10z subject to the constraint x² + y? +z? = 36 .

A:

Q: . . ... . .. Use Lagrange multipliers to find the maximum and minimum values of f subject to the…

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Q: The phone company, Ringular, has a monthly cellular plan where the customer pays a flat monthly fee…

A:

Q: Solve graphically the dual of the LLP Minimise: z=4w; +6w,+5w,-W4 Sub. to w, +w, 23 W; +w, –w,2-2…

A:

Q: 4) State whether a quadratic model or a linear model would be the better fit for this data.…

A: Given the given table is

Q: Use Lagrange multipliers to find the indicated extrema, assuming that x and y are positive. Маximize…

A:

Q: d) Asses whether the solution you got consist of two linearly independent functions.

A:

Q: Use Lagrange multipliers to find the extreme values of f(x, y) = x² – y² subject to the constraint…

A: Given the function fx,y=x2-y2 and x2+y2=1. Let gx,y=x2+y2-1. Find the extreme values of f subsject…

Q: In Simple Linear Regression, the Regression line, 9 = a + bx, is the unique line that minimizes BL…

A: As per our guidelines we are supposed to answer only one question per post so I am solving first…

Q: Q1. Which equation can show the "linearity" of Ordinary Least Square (OLS) assumption? A) Y=B1 +…

A: A linear regression equation only sums the terms in the model while the model must be linear in the…

Q: Use Lagrange multipliers to find the maximum and minimum values of f(x,y) = x² + y?; subject to x? –…

A: Given, f(x,y)=x2+y2; subject to x2+y2-2x-4y=0. We have to find the maximum and minimum value of the…

Q: Minimize f(x, y) = x2 +y? subject to yx? = 8. Specify both the optimal solution

A: Given information: The objective function is f(x, y) = x2 + (y2/2). The subject to the constraint is…

Q: A toy manufacturer make bikes, for a profit of $12, and wagons, for a profit of $10. To produce a…

A:

Q: The regression equation is determined by finding the minimum value for which of the following?…

A: The regression equation is determined by finding the minimum value for

Q: A company manufacturing snowboards has fixed costs of $200 per day and total costs of $3,800 per day…

A:

Q: Find a linear model for the following data. x 4.0 4.5 4.6 4.9 y 9.0 8.5 6.3 6.0 a) 3.5 x - 23.2…

A: The linear equation is  y=ax+b Use curve fit ∑y=a∑x+nb∑xy=a∑x2+b∑x

Q: (d) Find the maximum and minimum values of the function f(x, y, z) = yz + x? subject to the…

A: Introduction: When a multivariable function is to be extremized under certain constraints, we follow…

Q: ý = mx,+ m, X + mgx3+ b Derive the ordinary least square estimate for the intercept.

A: OLSE is used for estimating the unknown parameter in a regression model. It selects the parameters…

Q: A group of retailers will buy 116 televisions from a wholesaler if the price is $300 and 156 if the…

A: Given - A group of retailers will buy 116 televisions from a wholesaler if the price is $300 and 156…

Q: In class, we considered the best linear predictor E*(Y|X) = a + BX. More precisely, E*(Y|X) should…

A: Note: Hi there! Thank you for posting the question. As your question has more than 3 parts, as per…

Q: Find the parameters of the linear model using the least squares method, with the independent…

A: Regression Equation: When we want to predict the value of one variable, say Y, from the given value…

Q: In the equation of a linear regression, Y = b;X + bo, if b, = -6.2 which means %3D O a. For each…

A: Given regression equation Y=b1X+b0 ,

Q: Use Lagrange multipliers to solve Maximize…

A: Consider  fx, y=2x+2xy+y Subject to constraints   2x + y = 100

Q: Minimize f(x, y) = x² + y? subject to yx? = 8. Specify both the optimal solution

A: Given information: The objective function is f(x, y) = x2 + (y2/2). The subject to the constraint is…

Q: Furnco manufactures desks and chairs. Each desk uses 4 units of wood, and each chair uses 3. A chair…

A: assuming that x unit of desks and y unit of chairs are produced by company. Since profit is to be…

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related. 

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.