Square watermelon sowing method A Presentation By Mr Allah Dad Khan Visiting Professor Agriculture University Pesh

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Mr.Allah Dad Khan

Education

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- Regression analysis is a statistical tool used to examine relationships between variables and can help predict future outcomes. It allows one to assess how the value of a dependent variable changes as the value of an independent variable is varied. - Simple linear regression involves one independent variable, while multiple regression can include any number of independent variables. Regression analysis outputs include coefficients, residuals, and measures of fit like the R-squared value. - An example uses home size and price data from 10 houses to generate a linear regression equation predicting that price increases by around $110 for each additional square foot. This model explains 58% of the variation in home prices.

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The document provides an overview of regression analysis. It defines regression analysis as a technique used to estimate the relationship between a dependent variable and one or more independent variables. The key purposes of regression are to estimate relationships between variables, determine the effect of each independent variable on the dependent variable, and predict the dependent variable given values of the independent variables. The document also outlines the assumptions of the linear regression model, introduces simple and multiple regression, and describes methods for model building including variable selection procedures.

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The document discusses various sources of energy, dividing them into conventional and non-conventional sources. Conventional sources include fossil fuels like coal, petroleum and natural gas. These are used in thermal power plants to produce electricity. Hydro power plants use the kinetic energy of flowing water for electricity. Non-conventional sources include solar, wind, biomass, tidal, geothermal and nuclear energy. These provide alternatives to fossil fuels and many are renewable but also have challenges like cost, land use or waste disposal.

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Tidal energy is a renewable source of energy that harnesses the power of tides. It has several advantages, including being renewable as tides are driven by the gravitational pull of the moon and sun, being a green energy source that doesn't emit greenhouse gases, and having a predictable output. However, tidal energy also has disadvantages such as potentially impacting the environment, only being available when tides are surging for around 10 hours per day so requiring effective energy storage, and being an expensive new technology that is not yet cost-effective.

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Square watermelon sowing method A Presentation By Mr Allah Dad Khan Visiting Professor Agriculture University Pesh

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