Ejercicio 1consumoingresoPronosticoy observadoxxyx^2Y estimadou= error70805600640065.18181818184.81818181826510065001000075.3636363636-10.363636363690120108001440085.54545454554.4545454545beta 124.454545454595140133001960095.7272727273-0.72727272731101601760025600105.90909090914.0909090909beta 20.50909090911151802070032400116.0909090909-1.09090909091202002400040000126.2727272727-6.27272727271402203080048400136.45454545453.54545454551552403720057600146.63636363648.36363636361502603900067600156.8181818182-6.8181818182Promedio111170sumatoria205500322000n = 1010

Regresion Eje1SUMMARY OUTPUT

Regression StatisticsMultiple R0.9808473686R Square0.9620615605Adjusted R Square0.9573192555Standard Error6.4930032273Observations10ANOVAdfSSMSFSignificance FRegression18552.72727272738552.7272727273202.86792452830.0000005753Residual8337.272727272742.1590909091Total98890

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept24.45454545456.41381729873.81279109080.0051421729.664256241239.24483466799.664256241239.2448346679X Variable 10.50909090910.035742806414.24317115420.00000057530.42666784970.59151396850.42666784970.5915139685

Ejercicio 2YXCartera en MillonesTasa14990.16695720.17610530.173110010.17147030.16325380.152811520.16395570.175910500.1499410.16736720.159520590.136310360.171318660.1583740.19945520.1837380.160211470.165617750.145112500.178920530.1695

Regresion Eje2SUMMARY OUTPUT

Regression StatisticsMultiple R0.5248995209R Square0.275519507Adjusted R Square0.2373889548Standard Error448.5691409882Observations21ANOVAdfSSMSFSignificance FRegression11453911.741689431453911.741689437.22568886890.014559147Residual193823071.21069152201214.274246922Total205276982.95238095

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept4311.94228983121207.93322818313.56968596380.00204466851783.70898712486840.17559253761783.70898712486840.1755925376Tasa de Interes-19494.24549994447252.1504025569-2.6880641490.014559147-34673.170738683-4315.3202612058-34673.170738683-4315.3202612058Si se baja la tasa de interes en 1% la tasa subira 194941972.6328298379

Ejercicio 3Crecimiento EnergiaCrecimiento PIB6.6310.94.46.9563.910.43.64.32.36.33.96.22.56.83.24.93.36.55.46.16.40.53.30.90.52.72.8Crecimiento EconomicoPronostico2%2.14013480983%2.15026600874%2.1603972075

Regresion Eje3SUMMARY OUTPUT

Regression StatisticsMultiple R0.4955434074R Square0.2455632687Adjusted R Square0.1875296739Standard Error2.5918298621Observations15ANOVAdfSSMSFSignificance FRegression128.424766891328.42476689134.2313985520.0603260148Residual1387.3285664426.717582034Total14115.7533333333

CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept2.11987241211.8797881251.12771880190.2798228016-1.94116293396.1809077582-1.94116293396.1809077582Crecimiento PIB1.01311988440.49251433192.05703635160.0603260148-0.05089264112.07713241-0.05089264112.07713241Si el PIB crece en 1% el PIB subira 1.01311